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Median pay is $90,000/y

HUMAN



United Kingdom
 
💰 $60k - $140k*

HUMAN is hiring a
Remote Data Scientist Mediaguard

At HUMAN, we know who’s real. We are the global leader in bot mitigation. Founded in 2012 in a Brooklyn sci-fi bookstore we’ve grown to protect more than 200 enterprises—including the largest internet platforms—from bot attacks by verifying the humanity of over a trillion (that’s 12 zeroes!) online interactions every day. State-of-the-art bots look and act like humans when they click on ads, visit websites, fill out forms, take over accounts, and commit payment fraud. We stop them.\n\nWe hope you’ll want to join our mission to stop bots, disrupt the economics of cyber crime, and keep it human.\n\[email protected]\nThe Detection team at HUMAN is the beating heart of our company - finding and stopping bots. We're a group of data professionals and security experts who build the algorithms that run behind the scenes analysing and decisioning on our vast number of daily events. We deploy advanced statistical and machine learning models that need to be flexible for different deployment scenarios and robust to a fraudster’s favourite tactics: evasion and deception. \n\nCountering bot fraud is not a situation where all the interesting data science problems have already been solved. Every week there are brand new challenges that require novel approaches. - Austin L, Senior Data Scientist, MediaGuard\n\nThe human we need for this role will work on MediaGuard: our product for advertising platforms. MediaGuard provides real-time insight for ad-tech customers on which advertising opportunities are fraudulent bot-driven events.\n\nOur culture and benefits: Helping you do the best work of your life\nFocus\nAlongside the feel-good factor of knowing your work each day counters cyber-crime, we designed our cultural norms and work benefits to bring out your best. We strongly value deep work, so we practice company-wide Zoom-free Fridays . This provides a handy backdrop for a related initiative: ‘R&D Research Friday’: half a day each week isolated from day-to-day work for all our people to focus on trying new ideas, personal learning and career development. It’s backed financially too by a generous Learning & Development stipend.\n\nHUMAN's company-wide "no meeting Fridays" is like a breathe of fresh air after other jobs with the constant context switching of meetings interrupting one's flow. - Adrian W, Principal Data Engineer. \n\nFlexibility\nAt HUMAN we’re fully committed to flexible working arrangements and making remote work...work. But what does this mean in practice? It means we supply you with a company Macbook Pro and generous home-office stipend, we pay for your mobile and internet bills and we recreate that shared-office-lunching vibe with expensable lunch delivery on Wednesdays. At our major hubs we also have physical spaces too, so you can get that in-person experience when it makes sense for you and your team-mates.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nUnited Kingdom


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Cameo



Chicago, Illinois, United States
 
💰 $60k - $100k*

exec

 

marketing

Cameo is hiring a
Remote Data Science Manager Marketing

\nAt Cameo, we make impossible connections possible. Our platform allows fans to get personalized messages from their favorite athletes, actors, influencers and more. Not gonna lie, it’s pretty magical. And now we’re looking for passionate, hardworking humans to help take Cameo to the next level. \n\n🚀 Our #Fameo means everything to us. Join a stellar team of smart, curious and driven individuals, and experience a rocketship from its earliest days.\n\n📈 Best in class. We’ve been named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes and the #1 Most Innovative Social Media Company by Fast Company.\n\n🌎 Work from anywhere. We’re a global company with an entirely distributed team… so as long as you’ve got WiFi, let’s connect.\n\nCome to work every day knowing your efforts will have a material impact, shaping the direction of the next great tech company!\n\nAbout the role:\n\nWe are building out our Marketing Data Science team and are seeking a strong leader to build out this capability for our business.\n\nIn this role, you will be responsible for developing measurement tools and frameworks to enable crucial insights and to shape our marketing strategy. Some key marketing challenges we are currently focused on are measurement of marketing impact, experimentation and incrementality testing, and attribution, while at the same time setting up the data infrastructure to support our long-term marketing vision.  You will constantly assess and optimize our measurement frameworks to continuously improve our grasp of our business dynamics.\n\nIn this role, you will report to the VP of Data and will be an integral member of the leadership team of Cameo’s Data Organization.  You will also work closely with the SVP of Marketing and her leadership team and your counterparts in other functions to make sure that we connect the dots across the business. You will balance a consultative approach with a passion for diving deep into the technical details that will make you a trusted data leader, a valued thought partner to the Marketing leadership team, and a strong partner to the entire organization.  In this role, you will manage a small team of other data scientists.\n\nThis is a highly visible role that is the core of enabling marketing innovation and technology. The ideal candidate will have strong data and problem-solving skills, a willingness to roll-up their sleeves and get into the data, and interpersonal skills to work cross-functionally and drive forward recommendations.\n\nWhat you’ll be doing:\n\n\nPartner with the SVP of Marketing on Cameo’s Marketing plan and execution, focusing on building best-in-class frameworks to measure our marketing impact, up-level our understanding of our users and how they interact with our products, and help deliver impact and growth for the business\n\nPartner with the Marketing Leaders to understand key initiatives and strategies across Performance Marketing, Web/SEO/Social, Brand Marketing Integrated Marketing, and Product Marketing campaigns; Proactively define measurement of impact; Identify opportunities for continuous improvement.\n\nPartner with the Analytics Engineering, Data Platform, and Growth/MarTech teams to build out our core marketing measurement tools; Develop dashboards for consumption by executive teams and cross-functional leaders\n\nDrive acquisition and engagement of Fans and Talent in a two-sided marketplace; Lead creation and delivery of data-driven insights through ad-hoc analyses and presentations\n\nOwn the design, execution, and analysis of A/B and multivariate tests to enable data-driven decision making; Build segmentation and target audiences for various campaigns\n\nWork cross-functionally with various teams - Marketing, Product, Talent, Engineering, Legal; Engage with other functional leaders as well as other data science teams, to ‘connect the dots’ across the business, and be a thought leader to contribute to Cameo’s overall strategy and growth\n\nContinue to build out this team; hire, manage and coach talented individuals to make this team a world-class marketing data science powerhouse.\n\n\n\n\nWhat you bring to the table:\n\n\nPassion for Cameo, expertise in marketing data science, and the drive to build a world-class marketing data science function\n\n8+ years of experience in a rigorous data role, and preferably 4+ years of marketing data science experience with a strong foundation in statistics, and/or experimentation\n\nMasters degree in a quantitative discipline is a plus\n\nStrong understanding of the full range of online marketing channels, how they work, how they can be integrated, and how to evaluate them; Ability to derive strong insights and provide decision support for various channels - Search, Email, Display, Push Notifications, App\n\nExtensive experience using Marketing analytics systems and techniques (especially incrementality testing and causal inference, but also MMM, MTA, Funnel analytics, ROI Analyses) to drive actionable insights\n\nStrong desire to “get your hands dirty” by digging into analytics; SQL and Python are a must.\n\n‘What’s right for the business’ mindset, ‘hypothesis first’ approach to defining and solving problems; Experience identifying the key insights that a business needs to make great, fast decisions and designing the reports that deliver those insights\n\nStrong written and verbal communication skills, as well as the ability to influence the marketing and broader company agenda.  Stakeholder and cross-functional process management skills will be key to success in this role.  You must be able to work effectively with Marketing leadership to create visibility to Data challenges, manage their expectations, and work with them to unblock their own team through tools and trainings.\n\nStrong interpersonal skills and ability to work with various cross-functional stakeholder groups at various levels.\n\n\n\n\nCameo is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment for every person who walks through our doors. All employment is decided on the basis of qualifications, merit, and business need. Cameo celebrates and embraces diversity.\n\nPlease consult the Notice to California Residents contained in Cameo's Privacy Policy available at https://www.cameo.com/privacy for information regarding your rights under the California Consumer Privacy Act if you are a California resident.\n\nWe are working on becoming compliant with Colorado regulations.  Until then, this role can not be performed in Colorado. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Data Science and Marketing jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Location\nChicago, Illinois, United States


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CloudWalk



São Paulo, SP
 
💰 $60k - $140k*

CloudWalk is hiring a
Remote Data Scientist

This position is for adventurers, explorers, people that want to do something meaningful with their lives. \nIf you are looking for just a month to month paycheck this position is not for you. Please do not apply. \n\nWhat is CloudWalk? \nCloudWalk is an AI first company building its own technology to bring justice to the broken payment system in Brazil. We are building what one would call a "self-driving bank". Our AI team aims to be the best so, if you have knowledge and grit, I invite you to read on, apply, and help bring fairness to our society. \n\nThe AI team: \nThe AI team at CloudWalk does not set clear goals or objectives to its participants. We allow them to explore and propose solutions to any interesting problem that can improve the life of our customers. \n\nWe are deeply inspired by the book "Why Greatness Cannot Be Planned: The Myth of the Objective" by Kenneth O. Stanley and Joel Lehman and, for this reason, we consider ourselves as a "non-objective" team, iterating fast and failing fast. \n\nPeople we like: \nWe are looking for people who can manage themselves, that are critical thinkers, that are makers. We want problem solvers, not coders. No one will hold your hand and tell you what to do. We want people that are able to navigate chaos by themselves. CloudWalk is not a corp company, we don't want corp heads, we want the wild mads ones. We don't care if you didn't graduate from high school. As Elon Musk nicely said: "All that matters is a deep understanding of AI & ability to implement NNs in a way that is actually useful" \n\nRecruiting process outline:\nOur selection method is simple but hard. If you pass, you are definitely smart. \n1. Online technical assessment \n2. Technical interview\n3. Cultural interviews\n\nIf you are not willing to do an online quiz, please do not apply. \n\nDiversity and Inclusion:\nWe believe in social inclusion, respect and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability or education.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nSão Paulo, SP


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Figma



San Francisco or New York or Remote US
 
💰 $60k - $100k*

exec

 

ops

 

marketing

 

Figma is hiring a
Remote Data Scientist Marketing

Figma is adding to our team of passionate people who are revolutionizing the world of design. We are building a browser-based design tool that looks and feels as good as a native application and has all the additional power and advantages that come from being built upon the web platform. If you’re looking to work at a dynamic company who is building the future of design tools, welcome to Figma.\n\nWe are looking for a Data Scientist to partner with our Marketing teams to accelerate growth at Figma. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross functional peers to help leverage data throughout the organization. The ideal candidate will have a strong track record of executing analytical projects as well as partnering closely with business peers to guide decision making.\n\nThis is a full time role that can be held from one of our US hubs or remotely in the United States.\n\nAbout Figma\nDylan Field and Evan Wallace co-founded Figma in 2012 with the vision of building tools for designers in the browser. Their goal was to create the first design tool that combined the accessibility of the Web with the functionality of a native app. Today Figma is a platform with tools and spaces to support the entire product development process—idea to design to build—and has simplified collaboration for companies like Microsoft, Uber, and The New York Times to name a few. \n\nAt Figma, we celebrate and support our differences. We know employing a team rich in diverse backgrounds, experiences, and opinions allows our employees, products, and community to flourish. Figma is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.\n\nBy applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the applicable candidate section of Figma's Privacy Policy. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Ops and Marketing jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Location\nSan Francisco or New York or Remote US


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Komoot


verified
Europe, Africa
 
💰 $60k - $100k*

backend

 

data analyst

 

analyst

Komoot is hiring a
Remote Senior Data Analyst

# About komoot\nKomoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!\n\nToday, with over 23 million users and 200,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.\n\n**Join our fully remote team and change the way people explore!**\n\n\n**About the role**\nKomoot is a tech company where data plays a decisive role. As our new senior data analyst, your work will be invaluable in driving key product decisions. Being part of a cross-functional team, you will work closely with product managers, developers and designers to improve the user experience of millions of outdoor enthusiasts. You’ll surface user behaviour, analyse trends, take part in shaping the product roadmap, identify the most valuable improvements and measure their impact in A/B tests.\n\n**Ready for your next adventure?**\n\n\n**What you will do**\n- Turn data into actionable insights about our users to drive product decisions\n- Spot strategic opportunities in the data and help shape squad roadmaps\n- Design metrics to measure the success of key features\n- Create visualisations to highlight trends and user behaviour\n- Build dashboards and continuous reports to monitor product KPI’s\n- Design events to track new product features\n- Design and analyse A/B tests\n- Organize and prioritize tasks of our data analytics roadmap\n\n\n**Why you will love it**\n- You’ll work with a truly inspiring product that brings real life value to our users and empowers them to explore more of the great outdoors.\n- You’ll have a self-determined job with personal responsibility to move things forward, shape the processes and choose the tools you need to do your best work.\n- You’ll join an international and fully remote team spread across Europe with a common mission - to inspire great adventures, making them accessible to all.\n- We are a tech company with little organisational overhead, focusing on ownership and responsibility instead of micro-management and hierarchies.\n- You get 38 days annual leaves (including public holidays, which vary by country)\n- This is a remote role in a fully remote team. You are free to work from anywhere that lies between the time zones UTC-1 and UTC+3. Beach? The mountains? Or a co- working space (covered by us)?\n- You’ll travel with us (when safe) for team gatherings in amazing locations several times a year. You can check out this playlist to find out more about how we stay close while being remote. (http://bit.ly/39xtIrn )\n\n\n**You will be successful in this position if you**\n- Love solving problems and have a burning desire to transform data into actionable insights\n- Have 3+ years of experience with product analytics, cohort analysis, A/B testing and retention analysis\n- Are fluent in SQL and Python data analytics libraries\n- Have great communication and team skills\n- Have Strong attention to detail\n- Are familiar with statistical concepts\n- Have a hands-on attitude and are highly self-driven\n\n\n**Curious to find out more about our recruitment process?**\n- Find out more info here: https://www.komoot.com/jobs-process\n- At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.\n- We have a rolling recruitment process – if this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?\n\n\n**Perks**\n- Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!\n- Blinkist subscription and discounts with outdoor brands like Patagonia and Wahoo\n- Flexible working hours and locations\n- Three all-expenses-paid company gatherings per year\n- The latest devices and equipment\n- And more! \n\nBe sure to mention the words **PREDICT SWEET FOREST** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Backend, Data Science and Analyst jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Location\nEurope, Africa


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Visit Komoot's website

# How do you apply?\n\n# Sound like you?\nGreat, we would love to hear from you! Please send us the following:\n\n* Your CV in English, highlighting your most relevant experience.\n* A write-up (Cover Letter) explaining who you are and why you would like to work with us.\n* Examples of your public work if you have any (e.g. GitHub, blog)\n
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Komoot

 This job is getting a high amount of applications right now (90% of viewers clicked Apply)

verified
Europe, Africa
 
💰 $60k - $120k*

backend

 

data scientist

 

senior

Komoot is hiring a
Remote Senior Data Scientist

# About Komoot\nKomoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!\n\nToday, with over 23 million users and 100,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.\n\n**Join our fully remote team and change the way people explore!**\n\n\n**About the role**\nWe are now experiencing an accelerated growth and we're looking for an experienced Data Scientist dedicated to improving the product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 23 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot's success.\n\n**Ready for your next adventure?**\n\n\n**What you will do**\n- Work on a wide range of data science projects: Examples include improving the ranking and composition of our feed, bringing our follower recommendations to the next level and helping us keep users engaged.\n- Turn your ideas into data products ready for our production systems.\n- Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers).\n- Work with the Python Data Science Stack and a modern AWS infrastructure.\n- Identify how to best leverage our data to improve our platform.Discuss product improvements, technical possibilities and road maps.\n\n\n**Why you will love it**\n- You will deal with a diverse set of data (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...).\n- You will go beyond prototyping and ship your code to production\n- You will contribute to a product with a vision to inspire more people to go outdoors.\n- You will work in a fast-paced startup with strongly motivated and talented co-workers.\n- You will enjoy the freedom to organize yourself the way you want .\n- We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, or anywhere else that lies in any time zone situated between UTC-1 and UTC+3.\n- You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.\n\n\n**You will be successful in this position if you**\n- Have a passion for finding pragmatic and smart solutions to complex problems\n- Have a solid understanding of math and statistics\n- Have 3+ years of industry experience in data science\n- Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n- Bonus: TensorFlow, Keras or PyTorch\n- Know SQL\n- Love to write clean, maintainable and tested Python code\n- Have experience productionising your data science solutions\n- Have strong communication and team skills\n- Have a hands-on attitude and are highly self-driven\n- Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n- Bonus: Have cloud experience (e.g. with AWS)\n- Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n**Curious to find out more about our recruitment process?**\n- Find out more info here: https://www.komoot.com/jobs-process\n- At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.\n- We have a rolling recruitment process. If this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?\n\n\n**Perks**\n- Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!\n- Blinkist subscription and discounts with outdoor brands like Patagonia and Wahoo\n- Flexible working hours and locations\n- 3 all- expenses paid Company gatherings per year\n- The latest devices and equipment\n- And more! \n\nBe sure to mention the words **INFANT GENIUS SLIM** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Backend, Data Scientist and Data Science jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nEurope, Africa


See more jobs at Komoot

Visit Komoot's website

# How do you apply?\n\n# Sound like you?\nWe would like to hear from you!\n\n* Your CV in English highlighting your most relevant experience\n* A write-up explaining who you are and why you are interested in working at komoot\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, your blog or something else
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Okcoin



San Francisco, California, United States
 
💰 $60k - $120k*

analyst

 

senior

Okcoin is hiring a
Remote Senior Product Data Analyst

\nWho We Are\n\nOkcoin is one of the world’s largest and fastest growing cryptocurrency exchanges. We help millions of people buy and sell bitcoin, and over 20 other crypto assets every day — but our work is a whole lot more than that. We’re building an inclusive future of finance, one that opens new opportunities to learn financial literacy, store value, and build wealth for everyone.\n\nReady to help the next billion people experience the future of finance with us? Come on board. We have offices in San Francisco, Malta, Hong Kong, Singapore, Japan, and Korea, but we believe in you working wherever you work best.\n\nAbout the Opportunity:\n\nA unique and highly-impactful role at one of the fastest growing global cryptocurrency exchanges. In this position, you will be driving data-based decision making across various Product teams tasked with increasing customer activation, engagement and maximizing LTV.\n\nWhat You’ll Be Doing:\n\n\n* Spearhead the development of data models, algorithms, and event triggers to drive sophisticated customer profiling, segmentation, and personalization enhancements to the consumer experience\n\n* Drive interpretation, socialization, and adoption of analytics insights\n\n* Assist in defining, and developing deep insights and root cause analysis\n\n* Craft machine learning and predictive models to drive intelligent product features\n\n* Collaborate across product, engineering, data science, product marketing, sales and our customers to continuously improve OKCoin product offerings across the market\n\n* Hone your skills on data visualization\n\n\n\n\nWhat We Look For In You:\n\n\n* BA/BS in Statistics, Computer Science or a related technical field or equivalent practical experience\n\n* At least 3-5 years of experience in analytics or closely related field\n\n* A strong intuition for crafting raw data and analysis into well-written and persuasive content\n\n* Expertise in SQL and knowledge of cloud data environments e.g. AWS\n\n* Familiarity with Excel, Tableau, Looker, or similar reporting tool\n\n* Strong interpersonal skills, with an emphasis on teamwork, initiative and integrity\n\n* Comfort with working in a fast-paced environment, handling multiple priorities simultaneously\n\n\n\n\nNice to Haves:\n\n\n* Experience with scripting and analysis languages (Python, R)\n\n* Experience working in an enterprise or B2B space, as well as the consumer or B2C space\n\n* Industry or educational experience in text mining, information retrieval, knowledge extraction and building knowledge graphs\n\n* Fluent in Mandarin and English\n\n\n\n\nHighlights of Perks and Benefits:\n\n\n* Market competitive total compensation package\n\n* 100% company paid individual medical, dental, & vision insurance coverage \n\n* Training & Development Reimbursement\n\n* PTO, company paid holidays, and flexible hours\n\n* UberEats Program\n\n* Parental Leave\n\n* Employee Referral Bonus Program\n\n* Company Donation Match\n\n* More surprises when you join!\n\n\n\n\nOKCoin Statement:\n\nOKCoin is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Analyst, Data Science and Senior jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nSan Francisco, California, United States


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Inscopix Inc



Vancouver, British Columbia, Canada
 
💰 $65k - $130k*

senior

Inscopix Inc is hiring a
Remote Senior Computational Neuroscientist Data Scientist

\n\nInscopix is looking for a senior data scientist to drive the development and application of computational methods for preclinical research projects related to neurodegenerative and neuropsychiatric illnesses. This is an opportunity to do computational neuroscience in an environment that prioritizes supporting you with the right tools, infrastructure, and support for doing science that matters at scale.\n\nAs a senior data scientist, you will work alongside:\n\n\nexperimentalists to design studies focused on using Inscopix technology to discover and validate novel neuro-therapeutics.\n\nfellow computational neuroscientists to design and develop methods for analyzing and interpreting our large in vivo datasets.\n\ndata engineers to optimize and harden your algorithms into robust, performant data products that can be executed at scale. \n\nsoftware engineers who will bring your analysis methods to life in intuitive user interfaces and scalable backend compute architectures.\n\n\n\n\nResponsibilities\n\n\ncollaborate with neuroscientists and engineers to develop innovative analyses of large scale video & time-series data, including calcium imaging and behavioral data. \n\nlead external neuroscience data analysis collaborations in industry and academia.\n\nperform and report exploratory analyses on novel and existing algorithms for analysis of high dimensional brain activity and animal behavior datasets. \n\nassist with integration of new data processing algorithms into existing software products.\n\n\n\n\nWe are looking for someone who…\n\n\nhas a PhD in computational neuroscience or related field\n\nhas a strong publication/conference record where major contributions relate to processing, analyzing, and modeling neuroscience research data\n\nenjoys working together with experimentalists to design studies and interpret results\n\nis excited to work alongside data and software engineers to translate innovative computational methods into robust data products.\n\n\n\n\nRelevant technologies & subject domains\n\n\nin vivo calcium imaging & related processing and analysis methods\n\nsupervised and unsupervised models for inferring ethograms from behavior movies. \n\nmouse models of neurodegenerative diseases (e.g. Parkinson’s Disease, Alzheimer’s Disease)\n\nmanipulating, analyzing, and visualizing data in Python (e.g. NumPy, SciPy, Pandas, Matplotlib, Seaborn)\n\napplying machine learning and/or deep learning techniques to answer neuroscience questions (e.g. using scikit-learn, statsmodels, Keras, Tensorflow).\n\ntraining and optimizing machine learning models for deployment in customer-facing products.\n\nusing tools like git to version control & share code.\n\nscripting in Unix command line environment\n\n\n\n\nLocation\n\n\n* Vancouver, BC (remote possible)\n\n\n\n\nTo Apply:\n\nPlease forward cover letter and resume\n\nAbout Inscopix:\n\nInscopix is a neurotechnology company developing a platform and full stack for real-time brain mapping.  Our vision at Inscopix is to drive new treatments to dramatically improve the health and well-being of people suffering from debilitating brain and nervous system disorders.  Inscopix’s flagship products, nVista and nVoke, have been deployed in over 400 research institutions across the world resulting in over 100 top-tier scientific publications and empowering breakthroughs in Alzheimer’s, Parkinson’s, psychiatric disorders, chronic pain, and addiction.  Based in Palo Alto, the Inscopix team brings together deep domain expertise in neuroscience, engineering, and data science.  Advised and backed by industry luminaries and investors, Inscopix has been recognized as a World Economic Forum Technology Pioneer, and by Deloitte as one of North America’s fastest growing technology companies. \n\nInscopix is an equal opportunity employer.\n\nInscopix welcomes and values diversity. Since our technology impacts people of different backgrounds, thoughts and beliefs, we feel it’s critical to employ people that reflect the diversity of people our technology is set out to help.  Employment decisions at Inscopix are based on business needs, job requirements and individual qualifications without regard to race, color, religion, gender identity and/or expression, ethnic or national origin, sex (including pregnancy), age, disability, HIV status, sexual orientation, marital or domestic partnership status, past or present military service, family medical or genetic history or any other protected status. Inscopix is an equal opportunity employer and prohibits discrimination and harassment of any kind.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Senior jobs that are similar:\n\n $65,000 — $130,000/year\n \n\n#Location\nVancouver, British Columbia, Canada


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Atlassian



Sydney, Australia
 
💰 $70k - $120k*

exec

 

engineer

 

senior

Atlassian is hiring a
Remote Cloud Developer Edge Networks

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.\n\nDo you love staying ahead of the growth curve and experimenting with new technologies and environments? Get on board as an Atlassian Cloud Developer.\n\nAs a member of our Edge Services team, you’ll build solutions to enhance the availability, performance and stability of Atlassian’s public edge infrastructure, which serves as the public gateway into Atlassian’s products and services. You’ll be exploring and deciding on new technologies, implement proof of concepts and be involved in key production projects. You’ll design, build and support solutions for the public cloud, to solve a variety of gnarly technical problems.\n\nIf you have great creative problem-solving skills, embrace DevOps and YBIYRI, and have a real passion for teamwork, then come and help us build cloud-native solutions that operate at a global scale. \n\nMore About Our Team\nThe Edge Services core team mission is to provide services that connect Atlassian to the rest of the world. We are responsible for building and operating a secure, scalable, and reliable public Edge layer that terminates public client connections, applies business-wide compliance and security measures, and load-balance traffic internally. In addition to our beloved Atlassian values, our team adopts these tenets:\nSolution focused: We build secure, well-architected solutions that are simple, yet powerful; opinionated yet flexible.\nMultipliers: We prioritise building and leveraging platform components to the benefit of many, while working to meet our customer's individual needs.\nRelationships: Our team exercises ownership, is communicative, friendly and predictable in our interactions.\nOur team: We care about each other, assume positive intent, help each other, have fun and experiment.\nGetting it done: We work with a bias towards action, reliably.\n\nWith a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further. \n\n\nMore about our benefits\n\nWhether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.\n\nMore about Atlassian\n\nCreating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.\n\nAdditional Information\n\nWe believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.\n\nAtlassian is committed to providing reasonable accommodations to all individuals participating in the application and interview process, and while performing job functions. Please note that you will have the opportunity to request accommodations at each stage of the assessment process. To request accommodations before scheduling an interview, please reach out to [email protected] and someone will follow up shortly.\n\nAll your information will be kept confidential according to EEO guidelines.\n\nIf your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.\n\nLearn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Engineer and Data Science jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nSydney, Australia


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Atlassian



Amsterdam, Netherlands
 
💰 $70k - $120k*

exec

 

engineer

 

senior

Atlassian is hiring a
Remote Senior Manager Data Science Amsterdam Europe

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.\n\nWith a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from the Netherlands, UK, France, and Germany your interest, apply today and chat with our friendly Recruitment team further.\n\nDo you get excited by the challenge of scaling a fast-growing company through strong analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and solve problems nobody had solutions before? Are you enthusiastic about experimentation, fast learning and innovation?\n\nWe have a unique opportunity for a senior leader to grow a high-performing team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners to senior business leaders, uncovering opportunities and problems, test and measure hypotheses, build analytics and data science solutions, and surface insights to drive transformative changes.\n\nThe ideal candidate will be a seasoned people manager with a background in applied statistics, economics or a related quantitative field. We are looking for someone with solid commercial awareness, who is comfortable with ambiguity and complexity, and has experience working with senior leaders and cross functional teams. You are a self-starter, strategic problem solver, and a humble leader. With demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.\n\n\nMore about our benefits\n\nWhether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.\n\nMore about Atlassian\n\nCreating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.\n\nAdditional Information\n\nWe believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.\n\nAll your information will be kept confidential according to EEO guidelines.\n\nIf your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.\n\nLearn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Engineer and Data Science jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nAmsterdam, Netherlands


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Ntropy Network Inc


 
💰 $70k - $140k*

infosec

 

engineer

 

Ntropy Network Inc is hiring a
Remote Data Scientist

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n\nWe\n - are allergic to over-engineering.\n - are anarchists at heart and like to hack around the status quo.\n - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. \n - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.\n - have a sense of humor (well, we think we do).\n\nAs an early member of our data science team, you will help\n - push the limits of what can be done with data.\n - build the team and drive the direction of the company.\n - shape our product and culture.\n - experience the direct impact of what you build on hundreds of millions of people’s financial lives.\n\nThe following are required\n - the tools: Python, Pandas, Matplotlib, scikit-learn, etc.\n - Spark, SQL and fundamental database operations.\n - recognized open-source contributions and/or top performance in data competitions (Kaggle, Numerai, etc.).\n - fluency in statistics and probability.\n\n\nFAQ\n\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in San Francisco, CA.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in the time zones GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nCurrently in beta with 20+ customers.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\n1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).\n\n2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.\n\n3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 22-25 people in the next 6 months. Mostly engineering roles.\n\nWhat is your current stack?\n\nback-end - Python + Rust (where performance matters)\ncompute - AWS + Azure\nML - PyTorch + ONNX\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. It will require long hours and sacrificing your free time. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$130k • 0.2% - 0.5%\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to InfoSec, Engineer and Data Science jobs that are similar:\n\n $70,000 — $140,000/year\n \n\n#Location\nRemote


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Everly Health



Austin, TX (Remote)
 
💰 $60k - $140k*

Everly Health is hiring a
Remote Data Scientist

Everly Health is the leading digital health company at the forefront of the $300 billion dollar virtual diagnostics-driven care industry. Our mission is to improve the lives of millions with a fully integrated digital care platform for consumers and businesses. We continue to innovate in the space by delivering more care to more people on a seamless diagnostics-driven platform. \n\nEverlywell, the consumer-initiated at-home laboratory testing brand within Everly Health, has helped over 1 million people manage their health and wellness with easy at-home tests, physician-reviewed results and actionable intelligence delivered digitally in days. You know your body best, and we believe information about the way your body works should be fully visible and available to you however and whenever you need it.\n\nWe are looking for a seasoned data scientist with a specialty in extracting & assessing large datasets, segmentation and predictive modeling using complex optimization algorithms focused on increasing participant engagement of client programs within Everly Health’s commercial business unit: Everly Health Solutions. \n\nYou will be working closely with the Engagement Strategy team, as well as Sales, Delivery and Analytics, to analyze our online & offline communication channels, how they work together - and the efficacy and incrementality of each. You will be responsible for conducting deep analyses around audience profiling and segmentation to enable more effective / efficient engagement spend and participant insights. The ideal candidate has experience with SQL & Tableau, multi-attribution methodology and behavioral segmentation. \n\nYou’re joining a ‘startup team within a startup,’ so if you’re looking for an opportunity to build & optimize from scratch to add value -- this is the role for you. \n\n*Remote Optional*\n\nYou'll Love Working Here:\n\n· Venture backed by top-tier firms\n· The opportunity ahead knows no bounds\n· Open vacation policy\n· Employee discounts\n· Paid parental leave\n· Health benefits\n· 401(k)\n\nNO EXTERNAL RECRUITERS - INDIVIDUAL APPLICANTS ONLY\n\nEverly Health is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship status, marital status, age, disability, protected veteran status, sexual orientation or any other characteristic protected by law.\n\nHIPAA Disclaimer: This role will be in an environment that has access to protected health information (PHI) and all security standards to protect PHI must be followed. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nAustin, TX (Remote)


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Pngme



San Francisco
 
💰 $70k - $135k*

machine learning

 

Pngme is hiring a
Remote Data Scientist Natural Language Processing

Data Scientist - NLP\n\nAbout the role\nPngMe is looking for a senior-level NLP-specialized Data Scientist who can independently research, experiment, build, and productize NLP-based solutions to translating unstructured text data.\n\nResponsibilities\n-Apply NLP/NLU techniques such as named entity recognition, text classification, and statistical language models to translate unstructured text into machine-readable form\n-Develop solutions in collaboration with data engineering to deploy algorithms through an MLOps pipeline\n-Build a rigorous experimentation framework to evaluate algorithm efficacy and drive a culture of iteration, optimization, and model tuning.\n-Work with customers to identify, design, and NLP/NLU models for product use cases\n\nRequirements\n-Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering, or a closely related field\n-5+ years of professional experience as a data scientist \n-Working knowledge of scientific computing language (Python preferred), SQL, and data visualization tools\n-Strong knowledge of probability and statistics. Deep understanding of experimentation analysis workflows\n-Comfortable with working in cloud environment such as AWS (ec2, emr, Redshift, Sagemaker)\n-Excellent communication skills to convey complex technical concepts and information to both technical and non-technical audiences\n\nPlus\n-Industry experience with credit risk analysis and underwriting principles\n-Data engineering experience and data pipeline tooling (Airflow, Spark)\n-Experience working with customers to identify problems and provide solutions\n-Familiarity with NLP concepts and practical application on text data\n-Experience deploying models into production environment (Sagemaker, MLFlow, Kubeflow)\n-Kaggle Master / Grandmaster\n\nBenefits:\n- Mission driven company focused on giving equal everyone equal access to finance\n- We invest heavily in our team and strive to provide a supportive work culture\n- Flexible work policy from our global offices (when open) or remote\n- Innovative engineering and product culture\n- Inclusion and diversity as a company priority \n- Founder-led company\n- Inclusive stock option plans\n- Competitive compensation packages \n- Comprehensive benefits (including 100% healthcare, dental, vision and 401k)\n- Additional benefits include home office reimbursements\n\nSalary: $140,000 - $200,000 USD \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Data Science jobs that are similar:\n\n $70,000 — $135,000/year\n \n\n#Location\nSan Francisco


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Pngme



San Francisco
 
💰 $70k - $135k*

machine learning

 

Pngme is hiring a
Remote Data Scientist Machine Learning

Data Scientist - Machine Learning\n\nAbout the role\nPngMe is looking for a mid-to-senior-level Data Scientist who can independently run deep data investigations, partner with our product and engineering teams, support our customers with analytic and modeling solutions, and evangelize data science across the organization.\n\nResponsibilities\n- Run impactful inferential analyses and data investigations to develop deep understanding of data \n-Identify recurring patterns, root causes, and propose actionable product solutions\n-Build, validate, fine-tune, and deploy machine learning models as product via a robust MLOps pipeline\n-Partner with the product, design, and engineering teams to define and monitor key business metrics, build visualizations and dashboards, present actionable insights across the organization, and collaborate on platform functionality\n-Work collaboratively with customers to identify problems, build analytics & modeling solutions, present insights, and demonstrate the value of Pngme’s products\n-Provide thought leadership on developing cultural excellence around statistical analysis, experimentation, and modeling\n\nRequirements\n-Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering, or a closely related field\n-5+ years of professional experience as a data scientist \n-Working knowledge of scientific computing language (Python preferred), SQL, and data visualization tools.\n-Strong knowledge of probability and statistics. Deep understanding of experimentation analysis workflows\n-Comfortable with working in cloud environment such as AWS (ec2, emr, Redshift, Sagemaker)\n-Excellent communication skills to convey complex technical concepts and information to both technical and non-technical audiences\n\nPlus\n-Industry experience with credit risk analysis and underwriting principles\n-Data engineering experience and data pipeline tooling (Airflow, Spark)\n-Experience working with customers to identify problems and provide solutions\n-Familiarity with NLP concepts and practical application on text data\n-Experience deploying models into production environment (Sagemaker, MLFlow, Kubeflow)\n-Kaggle Master / Grandmaster\n\nBenefits:\n- Mission driven company focused on giving equal everyone equal access to finance\n- We invest heavily in our team and strive to provide a supportive work culture\n- Flexible work policy from our global offices (when open) or remote\n- Innovative engineering and product culture\n- Inclusion and diversity as a company priority \n- Founder-led company\n- Inclusive stock option plans\n- Competitive compensation packages \n- Comprehensive benefits (including 100% healthcare, dental, vision and 401k)\n- Additional benefits include home office reimbursements\n\nSalary: $140,000 - $200,000 USD \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Data Science jobs that are similar:\n\n $70,000 — $135,000/year\n \n\n#Location\nSan Francisco


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Natuvion GmbH



Berlin
 
💰 $60k - $120k*

analyst

 

Natuvion GmbH is hiring a
Remote Data Analyst

\nJoin the Natuvion Team - Natuvion ist ein digitales Umzugsunternehmen. Unser Team bewegt keine Tische, Aktenschränke oder Stühle. Natuvion transportiert geschäftskritische Daten und Prozesse von einer Technologieplattform auf eine andere. Typische Natuvion „Umzugsdienstleistungen“ umfassen Datenmigration, Datentransformation, Datenintegration, Datenschutz, Datensicherheit und Datenqualität. Unsere 200 BeraterInnen und EntwicklerInnen in Deutschland, Österreich, Slowakei, USA und Australien verfügen über weitreichendes Knowhow bei (SAP®-)Projekten und ein profundes Prozessverständnis über Branchengrenzen hinweg. Mit viel Erfahrung, Engagement und Einsatz begleiten sie unsere Kunden mit Beratung, Dienstleistung und eigener Softwaretechnologie. So ermöglichen wir Unternehmen, ihre Daten und Prozesse immer auf den modernsten und innovativsten Plattformen zu nutzen.\n\nWir suchen ab sofort zur Unterstützung unserer Kundenprojekte bundesweit (Berlin, München, Walldorf, Leipzig, remote) zur Unterstützung des Teams einen (Junior) Data Analyst (m/w/d) für Aufgaben in der Betreuung unser Natuvion Analyticsplattform SOPHIA®.\n\n\n\n\n<br/><br/>\n\n\n\nDeine Aufgaben bei uns:\n\n* Begleitung von Kundenprojekten von der Erhebung der Kundenanforderung, Datenauswertung bis zur Delivery\n\n* Technischer Ansprechpartner rund um das Softwareprodukt SOPHIA für Kunden, interne Stakeholder und Entwickler, sowie Impulsgeber für die Produktentwicklung\n\n* Koordinierung der frist- und sachgerechten Lieferung und Individualanpassungen innerhalb von Kundenprojekten\n\n* Aktive Unterstützung des Sales Teams im Pre-Sales durch Aufgaben wie beispielsweise Erstellung von Aufwandsschätzungen und bei der Erstellung von Angeboten\n\n\n\nDein Profil:\n\n\n\n* Abgeschlossenes Studium oder Ausbildung, idealerweise im Bereich (Wirtschafts-) Informatik, Wirtschaftswissenschaft, Mathematik und Naturwissenschaft\n\n* Programmierkenntnisse von JAVA und SQL, gute Technisches Verständnis und Kenntnisse von Datenbanken, -modellen und -strukturen\n\n* Ein gutes Business-Prozess Verständnis und sehr gute analytische Fähigkeiten\n\n* Berufserfahrung im Bereich SAP-Systemanalyse oder SAP-Datentransformation von Vorteil\n\n* Interesse dich in Cloud Entwicklung und SAP UI5 einzuarbeiten und zu spezialisieren\n\n* Erste Erfahrung im IT-Anforderungsmanagement und Erfahrung im Projektmanagement erwünscht\n\n* Sehr gute Umgangsformen, Teamspirit und ausgeprägte Fähigkeiten im Bereich Kommunikation und Präsentation\n\n* Reisebereitschaft und Flexibilität bei freier Wohnortwahl\n\n* Sehr gute Deutsch und Englischkenntnisse in Wort und Schrift\n\n\n\n\n\nDas erwartet dich:\n\n* Abwechslungsreiche und vielfältige Projekte bei namhaften internationalen Kunden\n\n* Möglichkeiten zur fachlichen und persönlichen Weiterentwicklung durch ein internes Netzwerk aus erfahrenen Experten für den gegenseitigen Austausch und zur Erarbeitung von Problemlösungen im Teamwork\n\n* Interessante vielfältige Karriereperspektiven als Data Analyst in einem wachsenden Unternehmen\n\n* Eine wertschätzende Mitarbeiterkultur, flache Hierarchien, kurze Kommunikationswege und eine open-door policy\n\n* Unbefristete Festanstellung und 30 Tage Urlaub\n\n* Homeoffice Vertrag und moderne Arbeitsplätze in unseren Büros in zentraler Lage in München, Leipzig, Walldorf und Berlin\n\n* Ein kollegiales Arbeitsumfeld, regelmäßige gemeinsame Firmenveranstaltungen (Workshops, Firmenfeste), Laptop, Mobiltelefon, Getränke, Obst und Snacks am Arbeitsplatz, sowie viele weitere Benefits wie ein Business Bike-Leasing und Sabbatical runden unser Angebot ab\n\n\n\n\n \n\n\nDu hast ein ausgeprägte analytische Fähigkeiten, bist Zahlenaffin und hast keine Scheu vor Datenbanken? Du fühlst dich in einem dynamischen Umfeld wohl, bist belastbar und ein echter Teamplayer? Dann bewirbt dich über unser Online-Bewerbungsformular. Wir freuen uns darauf dich kennenzulernen!  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Analyst, Data Science jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nBerlin


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infarm

 This job is getting a high amount of applications right now (85% of viewers clicked Apply)


Berlin, Berlin, Germany
 
💰 $65k - $120k*

exec

 

infarm is hiring a
Remote Data Scientist Team Lead

\nPassionate to eat better and grow their own, Infarm was founded in Berlin in 2013 by Osnat Michaeli and the brothers Erez and Guy Galonska. With the aim to share the goodness of own-grown produce with everyone, they developed a smart modular farming system, that allows distribution of farms throughout the urban environment, growing fresh produce in any available space and fulfilling any market demand. \n\nToday, with cutting edge R&D, patented technologies, and a leading multi-disciplinary team, Infarm is growing a global farming network helping cities become self-sufficient in their food production while significantly improving the safety, quality, and environmental footprint of our food. \n\nBe part of the Infarm (r)evolution and help people to take back ownership of their food. \n\nWho you are\n\n\nYou're excited about learning fast!\n\nYou believe diversity, collaboration and teamwork are key drivers for success\n\nYou're thrilled by being the servant leader of a Data Science team\n\nYou are able to communicate complex solutions and analysis to diverse audience in a simple language\n\nYou love to work closely with different business teams to uncover opportunities to solve problems using data & analysis\n\nYou know how to adapt to changes, and how to help others adapting and evolving with them too\n\nYou are comfortable in a collaborative, agile and distributed environment\n\nYou desire to work in a respectful, transparent, collaborative and diverse environment\n\n\n\nRequirements\n\n\nYou have 3-6 years of experience as Data Scientist, Machine Learning Engineer or equivalent designing, developing and productionalization data science or machine learning applications at scale.\n\nYou have 3 years of strong knowledge and hands on experience in data mining, applied statistics and machine learning.\n\nYou have some experience managing / mentoring other Data Scientists.\n\nYou have advanced knowledge of SQL and Python.\n\nYou have practical knowledge of machine learning and data analysis tools (Scikit, Pandas, pytorch)\n\nYou have experience experience working with cloud based data warehouse (BigQuery is a plus) \n\nYou are comfortable with CI/CD processes and using GitHub and GitHub actions\n\nYou are fluent in English. Other languages would be a plus\n\n\n\nResponsibilities\n\n\nMentor, motivate, recruit, onboard and coach a team of Data Scientist and Machine Learning Engineers\n\nDefine and deliver the long term and short term vision of the Data Science team\n\nDrive the development of scalable machine learning infrastructure designed to accelerate translating AI research into production-ready models as well as provide advanced simulation environments supporting all aspects of our global farming ecosystem\n\nIdentify business opportunities and develop Big Data, Machine Learning and Artificial Intelligence initiatives to increase business ROI\n\nEstablish technical partnerships with external companies in order to position Infarm as a ML and AI company\n\nCollaborate with other Tech- and Team Leads in strategies that will positively impact our processes\n\n\n\nWhat we offer\n\n\nThe opportunity to join Infarm as we expand across the globe and help change the future of farming\n\nThe ability to drive impact and be a true partner to the business, working closely with top-level managers\n\nA friendly work environment with a diverse group of motivated, talented, and visionary colleagues\n\nCorporate Pension Scheme\n\n30 days of vacation plus an extra day off on your birthday\n\n\n\n\nInfarm is an equal opportunity employer. We strive to grow an inclusive environment, where everyone can thrive, regardless of your background and circumstances. We nurture diversity because we appreciate the uniqueness and differences between people. Each employee’s distinctive experiences, perspectives, and viewpoints helps us build a resilient environment, where we can all learn, grow, and create great things together. All applicants are given equal opportunity regardless of age, gender identity or expression, language, disability, ethnic origin, national origin, religion, belief, culture, socio-economic status, or sexual orientation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Data Science jobs that are similar:\n\n $65,000 — $120,000/year\n \n\n#Location\nBerlin, Berlin, Germany


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M-KOPA



Kampala
 
💰 $60k - $100k*

dev

 

analyst

 

qa

 

senior

M-KOPA is hiring a
Remote Data Analyst

At M-KOPA, We Finance Progress. \n\nThe scale and impact of our work is massive. M-KOPA is a fast-growing Fin Tech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go “PayGo’” solar energy for off grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.\n\nWe are looking for a remote working Data AnalystwithintheData Science & Analytics team who is resourceful,organisedandproactiveaboutgettingthingsdone.Yourmainobjectivewillbetowork closely with internal stakeholders, such as Customer Care, Sales, and Finance to scope, execute and support analytics activities.\n\nM-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.\n\nM-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’ or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Analyst and Quality Assurance jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Location\nKampala


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FREE NOW

 This job is getting a high amount of applications right now (99% of viewers clicked Apply)


Hamburg, Hamburg, Germany
 
💰 $60k - $140k*

FREE NOW is hiring a
Remote Data Scientist Fulfilment Hamburg

\nAt FREE NOW we are at an exciting point in our history - we are building a world-class product that is being used daily by more than a million people. We are a part of one of the most dynamic spaces for innovation in the world today: shaping mobility. Our daily business is solving large-scale, complex problems – and we love it! \n\nWe are keen on hiring a Data Scientist (m/f/d) for designing and implementing the models that define how we effectively match riders with drivers in our ecosystem while delivering the best possible user experience to both our customer groups. Being part of the Fulfilment’s Data Science team, you will work closely with our Product Managers, Machine Learning Engineers and other Data Scientists while collaborating with business stakeholders and market specialists on a daily basis. \n\nYou will stretch, learn, grow, and have fun doing it in a creative, diverse and collaborative environment that spans more than 70 nationalities and 11 markets across Europe. Don't join FREE NOW because of our perks or great office locations, join us if you can't wait to disrupt the mobility industry with us!\n\nWhat would your work look like?\n\n\nIdentifying, understanding, structuring and solving complex problems in the fast-moving world of urban mobility, specifically focusing on the fulfilment side of the marketplace.\n\nDesigning and developing high-performance, data-driven systems in a distributed infrastructure to help move drivers and passengers through cities more efficiently\n\nCommunicating effectively with business end-users to identify pain points, use cases and problem definitions\n\nPresenting your work to both internal and external stakeholders as well as at meetups and conferences\n\nWorking with large, interesting data sets including historical, real-time and third party data streams\n\n\n\n\nWhat are we looking for?\n\nYou are a problem solver, detail-oriented and self-motivated. You let data inform your thinking rather than relying on gut feeling. You thrive working with ambiguity and believe in lean experimentation. You are an effective communicator, a team player and avid learner.\n\nWe’d really like if:\n\n\nYou have at least 2 years experience in working with complex data models\n\nYou possess a sound understanding of statistical analysis and data-driven modelling\n\nYou hold experience in designing and building machine learning and predictive algorithms, and a strong understanding of feature engineering and model evaluation\n\nWhile we typically look for candidates with advanced University degree in Maths, Statistics, Computer Science, Engineering or other quantitative disciplines, we're happy for you to prove us wrong and show that these degrees aren't necessary \n\nYou are proficient in Python \n\nYou are experienced with SQL and Shell scripting. \n\nWriting clean code and making your work reproducible is important for you.\n\nYou can communicate in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.\n\nYou are passionate about harnessing data science and have the will to play an essential role in the future of urban transportation.\n\n\n\n\nThere are certain skills that we love in our candidates but they aren’t really deal-breakers for us. \n\n\nWorking knowledge of Spark is desired.\n\nPrior experience working with notebooks and DataBricks stack is a big plus.\n\nEnthusiasm for geo-spatial data is a big plus!\n\nProficiency in Scala and other programming languages are a plus\n\n\n\n\n \n\nAbout FREE NOW\n\nFREE NOW is the multi-service mobility joint venture backed by BMW Group and Daimler AG. Next to ride hailing, FREE NOW also offers micro-mobility services and car sharing. It consists of the services FREE NOW (10 European markets), Βeat (5 Latin American and 1 European market) and hive (e-scooter and e-bikes in 3 European markets). Summed up, those services currently attract 45 million users in 17 markets and more than 150 cities. FREE NOW is therefore the biggest multi-service mobility provider in Europe and the fastest-growing ride-hailer in Latin America. FREE NOW works with various third party providers to offer their customers an even wider range of options to get from A to B. In total, more than 2,200 employees in around 35 offices work for the services of FREE NOW, which is led by CEO Marc Berg.\n\n \n\nDiversity & Inclusion\n\nAt FREE NOW, we commit to being an equal opportunity employer. We consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.\n\nWe celebrate diversity and have a clear vision: to be the place where a diverse mix of talented people want to come, stay and do their best work. Together with passionate, creative and collaborative colleagues, we are following our purpose of making mobility available for everyone. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nHamburg, Hamburg, Germany


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OneSecondDelivery

 This job is getting a high amount of applications right now (59% of viewers clicked Apply)

closed
Eastern Europe, Latin America, South Asia, Middle East/africa
 
💰 $30k - $100k

machine learning

 

pytorch

 

tensorflow

 

computer vision

OneSecondDelivery

OneSecondDelivery

🔎2,190 views

✅ 1,299 applied (59%)

This job post is closed and the position is probably filled. Please do not apply.
**Promising drone-delivery startup is hiring a Dataset and Machine Learning Manager to work remotely. OneSec is working on a groundbreaking GPT-scale machine learning project to make autonomous delivery drones. In this job, you will build the Datasets and Neural Networks that fly our autonomous delivery drones. These drones will then deliver millions of meals and other packages in the real world.**\n\n##About OneSecondDelivery\nWe are creating a food delivery app that uses autonomous drones to deliver the food. We deliver everything 5 times faster and 100 times cheaper, thanks to small autonomous delivery-robots. The company was founded in 2017 by a leading expert on drone legislation and a successful e-commerce entrepreneur. The Swiss Federal Institute of Technology’s Vice Presidency of Innovation has recognized the large potential of this project and has supported us with the XGrant Prize and other resources.\n\nYou can check out our website OneSec.com for more info\n\n##Job Description\nOneSec is building one of the largest machine learning projects in the drone industry.\nWith our own photorealistic flight simulator, and a fleet of prototype drones, we are building one of the largest depth perception datasets in the world, with 60 million training samples. As well as an unsupervised pre-training pipeline with 400 million training samples. We are building a large computer cluster of NVIDIA and Tenstorrent chips to scale up our machine learning project to this scale. \n\n####Your job has 3 components:\n* Neural network training and optimization\n* Dataset management and generation\n* Supporting our hardware team in building up our exaflop-scale machine learning cluster\n\n####Here are some of the Neural Networks you will be building:\n\n-Delivery surface finder:\nA neural net that picks the optimal delivery surface within a balcony or backyard of a customer.\nUsually this will be a table or chair or a section of the floor that has enough clearance.\n\n-OneSec Fruxel Depthmap:\nThis is a convolutional neural network that takes camera images and generates a 3D representation of the space around the drone. Our pathplanner then uses this depthmap to plan a collision free path for the drone. This neural network represents the core of our autopilot system. \n\n-Delivery Clearance Model:\nThis model checks the camera images to see if the scene is safe to approach. We don't fly into a balcony if there's a human or dog in it. And when we approach a restaurant to pickup a package, we make sure the scene is clear of humans, pets etc.\n\n###Requirements\n* The most important thing is that you are excited about this project, and like the mission of our company.\n* Knowledgeable about machine learning and neural networks. Both practical and theoretical.\n* Experience with computer vision and convolutional networks\n* Experience with PyTorch and TensorFlow\n* Good computer skills, and general tech savvy: you will do many tasks like setting up recording devices to record datasets, creating small python programs for dataset labelling and management, post processing large image datasets etc.\n\n###Benefits:\n* Take part in a huge success story\n* Flexible work schedule\n* Competitive cash compensation\n* Equity compensation (become a partner in the company) \n\nBe sure to mention the words **AUTHOR EXCHANGE MARKET** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $30,000 — $100,000/year\n \n\n#Location\nEastern Europe, Latin America, South Asia, Middle East/africa


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Clevertech

 This job is getting a high amount of applications right now (66% of viewers clicked Apply)

verified closed
🌏 Worldwide
 
💰 $60k - $110k

other

 

custom full text search

This job post is closed and the position is probably filled. Please do not apply.
Our 100% remote team of 200+ CleverPeople are seasoned yet friendly professionals who want to collaborate and welcome you. We have an exciting new opening for a **Sr Data Scientist - Custom Text Search.**\n\n**What we're working on**\nEnterprise companies turn to us to help them launch innovative digital products that interact with hundreds of millions of customers, transactions and data points. The problems we solve everyday are real and require creativity, grit and determination. We are building a culture that challenges norms while fostering experimentation and personal growth. We are hiring team members who are passionate and energized by the vision of empowering our customers in a complex industry through technology, data and a deep understanding of client concerns. In order to grasp the scale of problems we face, ideally you have some exposure to Logistics, FinTech, Transportation, Insurance, Media or other complex multifactor industries.\n\n**Requirements**\n* 7+ years experience in a senior developer role using Python; ideally, you have delivered business-critical software to large enterprises\n* Experience creating a custom full-text search that analyzes multiple strings\n* You are comfortable manipulating large data sets\n* Experience using technologies such as Airflow, Spark, Kafka, AWS Glue and StreamSets\n* Ecommerce industry experience preferred\n* English fluency, verbal and written\n* Personality traits: Professional, problem solver, proactive, passionate, team player. \n\nBe sure to mention the words **SOCIAL RESULT MATH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $60,000 — $110,000/year\n \n\n#Location\n🌏 Worldwide


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AlphaSights

 This job is getting a high amount of applications right now (91% of viewers clicked Apply)

verified closed
🇺🇸 US
 
💰 $60k - $140k*

information services

AlphaSights

AlphaSights

alphasights.com

🔎3,238 views

✅ 2,944 applied (91%)

This job post is closed and the position is probably filled. Please do not apply.
**Data Scientist**\n\nAt AlphaSights, we search through hundreds of millions of professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organizations. Our mission is to provide access to dispersed, hidden, and underutilized knowledge.\n\nAlphaSights' Data Scientists and Engineers help to build new products and improve search and discovery. Working collaboratively with teams across the company, and especially closely with Data Scientists, you will apply your Engineering, Data Analysis, and Data Science skills to help bring data driven models and services into production. You will work with unique, proprietary data sets that offer a window onto the world economy. Ultimately, your work will power the next generation of features to help us build our knowledge on demand offering.\n\n**You will:**\n\n- Apply domain knowledge to extract, analyze, explore, model and gain insight from data\n\n- Help maintain data pipelines and evolve data ETLs \n\n- Work with stakeholders to design and implement critical reporting solutions\n\n- Have a good degree of autonomy as you work to get to the bottom of thorny data issues\n\n- Work in a highly collaborative environment with stakeholders, data scientists, engineers, and product managers\n\n**You might be a fit if you:**\n\n- Have one or more years of industry experience\n\n- Have strong SQL skills and enjoy extracting, manipulating, and ensuring the quality of real-world data\n\n- Are interested in Data Science, Machine Learning (ML), or Natural Language Processing (NLP)\n\n**Who you would work with:**\n\n- You would join a dynamic, multinational, and diverse team who enjoy solving interesting problems in a collaborative environment\n\n- Your co-workers will include motivated recent graduates from top Computer Science schools as well as experienced industry leaders from companies such as Google and Amazon\n\nDon't worry if your experience or background doesn't match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to hear from you. \n\n**Find out more: https://www.alphasights.com/careers/engineering** \n\nBe sure to mention the words **CRYSTAL WEB PIANO** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\n🇺🇸 US


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Jupiter


verified closed
🌏 Worldwide
 
💰 $140k - $190k

typerscript

 

grpc

 

bigquery

Jupiter

Jupiter

jupiter.co

🔎4,530 views

✅ -2 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
## The big vision ✨\nAs a society, we spent the last decade solving delivery and bringing the physical grocery store online. What we missed is the simple fact that food was already online in the form of content in food communities, blogs and forums. In fact, food makes up a large portion of the social media content we consume today.\nAt Jupiter, [we are pioneering food media & content shopping in the US](https://www.winsightgrocerybusiness.com/technology/social-network-grocery), and in doing so we're building the next version of grocery shopping. In this new version, customers will create, share and shop content directly from food communities where they find affinity. They'll be able to easily plan their meals and shop for ingredients in a single click, as well as share cooking tips with others — a 10x better way to shop that can only exist online.\nWe use data science and machine learning to automate the repetitive nature of grocery shopping and we’ve created a social shopping experience that is unique to the world of food. Join us on our mission to build magical food experiences that are convenient, healthy & fun!\n\n[*Jupiter](http://jupiter.co) was part of Y Combinator's Summer 2019 batch, and [secured 2.8M](https://techcrunch.com/2020/06/16/jupiter-wants-to-put-grocery-delivery-on-autopilot/) from an outstanding set of investors including NFX, Khosla Ventures, Canaan Ventures, Switch Ventures, and Paul Buchheit.*\n## **About your role 💫**\nOur “autopilot” predictions and recommendations are the bread-and-butter of the Jupiter platform, and are core to personalizing the Jupiter experience. Joining as a founding member of our machine learning engineering (“Autopilot”) team, you’ll be critical in making foundational decisions around our data stack and model infrastructure at Jupiter to supercharge this system.\nAs a founding Autopilot engineer, engineering is just as important as data science. In other words, not only will you be responsible for model development and evaluation, but you’ll own productionization of those models, workflows, and ETL as well.\n**Your responsibilities would include**\n- Making foundational decisions around our data pipeline and model infrastructure from both an engineering (e.g. workflow management, data warehousing) and data science (e.g. model design/evaluation) perspective.\n- Building, launching, evaluating, and maintaining models and custom algorithms to generate predictions of what products or recipes customers are ordering week-to-week, *and* personalized recommendations for what they might like to add.\n- Working closely with the product team to outline feature/UX work which maximizes information provided to models.\n- Track prediction/recommendation precision and recall closely across customer segments to inform subsequent modeling decisions.\n- Shaping our practice as a founding member of the Autopilot Team, bringing your technical leadership, experience, and knowledge of best practices to establish a strong culture around machine learning engineering.\n**Ownership within the autopilot team:**\n- You work primarily on the **personalization and recommendation** feature sets within the autopilot team.\n- You will work with the product team to personalize the store experience and improve product recommendations for customers.\n**We're looking for the best talent out there, so we're offering competitive base salaries with generous early-hire equity.**\n## About you 👩‍🚀\n**You might be a great fit if you…**\n- Have 4+ years of experience productionizing ML systems\n- Are thrilled about tackling challenging, seemingly-impossible technical problems around data science, machine learning engineering, predictive modeling, or discrete optimization\n- Have lots of experience building out and productionizing systems around personalization and recommendation\n- Are excited about learning about and designing complex machine learning algorithms attuned to specific problems or use cases\n- Are comfortable working with modern web stacks and integrating data pipelines within production systems - we use TypeScript, Kotlin (JVM), gRPC/protobuf, Terraform, among others\n- Are just as excited about data exploration in BigQuery and Jupyter notebooks (i.e. data science) as you are about setting up data pipelines with Airflow (i.e. data engineering)\n- Are enthusiastic about learning, trying, and diving deeply into new, unfamiliar technologies\n- Have taken a customer-facing product from conception to execution, and are excited about doing so again at Jupiter\n- Care about writing clean, well-documented code and appreciate static typing\n- Enjoy taking initiative while working with a small team in fast-paced environment\n- Are excited about reinventing the online grocery experience, starting with working families \n\nBe sure to mention the words **OAK RAVEN BROKEN** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $140,000 — $190,000/year\n \n\n#Location\n🌏 Worldwide


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Ampcontrol


verified closed
🌏 Worldwide
 
💰 $40k - $140k

operations research

 

algorithms

 

linear programming

 

heuristics

Ampcontrol

Ampcontrol

ampcontrol.io

🔎3,263 views

✅ -7 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional Operations Research experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n \n\nBe sure to mention the words **NAME ENERGY SCRIPT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $40,000 — $140,000/year\n \n\n#Location\n🌏 Worldwide


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Jungle Scout


🎈 verified closed
North America and South America
 
💰 $100k - $200k

data engineering

 

data infrastructure

 

ecommerce

Jungle Scout

Jungle Scout

junglescout.com

🔎2,181 views

✅ 122 applied (6%)

This job post is closed and the position is probably filled. Please do not apply.
Are you excited about building a team that’s laser focused on guiding customers (from the world’s largest brands to “mom-and-pop” sellers) in their most critical business decisions by leveraging one of the largest ecommerce data sets in the world? \n\nDo you get excited about building systems that process over 30 TB of raw data per day? \n\nAre you passionate about building cloud-native data systems that empower data scientists to build and deploy business critical machine learning models at scale?\n\nAmazing, then you’re the type of person we’re looking for!\n\nJungle Scout just raised $110M and we’re growing rapidly. We’re looking for a passionate engineering leader to join us during our most exciting phase of growth that will lead our Data Services group, focused on building cloud-native data systems that empower the entire engineering organization to build data-driven applications and predictive machine learning models.\n\nThis is a special opportunity and we’re looking for a special person. We move really fast and expect our leaders to not just keep up, but to set the pace. We do things differently. We have zero time for politics and look for the best ideas regardless of their source. We love the fact that each day is a little unpredictable and we revel in the ambiguity. We’re remote-first and committed to hiring the best talent anywhere in the world. We’re grateful to be working in a rapidly changing space and find joy in solving customer problems together as they arise.\n\n**In your first year you will:**\n\n* Drive vision and strategy for building Jungle Scout’s Data Infrastructure team and charter, which is at the foundation of Jungle Scout’s overall business strategy and competitive advantage\n* Build, manage, and lead data science teams that are solving Jungle Scout’s most complex business problems\n* Collaborate with data science teams and engineering leaders to build data systems that are at the foundation of Jungle Scout’s customer applications\n* Build a cloud-native Data Lake that makes critical data available to entire engineering organization through a variety of interfaces and technologies\n* Lead the business strategy and vision for widening Jungle Scout’s “data moat”, which delivers industry leading data analytics and automation for the world’s largest ecommerce retailers\n* Build an organization that provides thought leadership to ensure Jungle Scout is leading the industry with proprietary data sources and data insights, delivering unprecedented value for customers\n* Attract top talent and retain your managers and engineers through effective coaching and career growth\n\nInterested in learning more? Let’s get into the details:\n\n**What you’ll be doing:**\n\n* Cloud-native data architecture. Experience building scalable cloud based data systems that scale seamlessly to support the world’s largest brands.\n* Passion for complex data systems. Ability to build complex data systems that collect, integration, analyze, and aggregate data from many disparate sources.\n* Empower advanced data analytics. Self-starter with a passion for empowering applied mathematicians to build predictive models that leverage data to provide revolutionary insights for customers.\n * Experience with industry leading data technologies. Passionate about keeping on the cutting edge of the latest data technologies including stream data processing, Spark, Hive catalogs, and more.\n* Provide data leadership. Help define how we collect, process and expose the data we collect to both internal and external customers.\n* Lead and develop teams. Provide clear direction, define success and enable your managers, leads and individual contributors to do their best work. \n* Collaborate. Communicate and collaborate with other engineering leaders to improve the engineering organization. \n* Manage Relationships. Manage relationships and partnerships with our key data providers and work with external agencies to help increase the rate at which we collect, process and enable data.\n\n**Who you are:**\n\n* Operational excellence. Your core responsibility is operational excellence and oversight on the roadmaps for the teams you work with, empowering all of your team leads, and helping make faster decisions on staffing, budgeting, prioritization, personnel management, etc.\n* A multiplier. You're able to multiply your effectiveness by guiding and influencing your team leads to maximize their productivity and impact.\n* Collaborator and communicator. You excel at managing projects across different teams. You're able to prioritize and manage dependencies and expectations of multiple stakeholders effectively and efficiently.\n* An engineer at heart. Although you won’t be judged on your coding ability you will be regularly involved in system design conversations so a background in software development is required. \n* A visionary. We’re still just getting started so you have the opportunity to shape our data strategy as we continue to grow.\n\n**Working at Jungle Scout**\nhttps://www.junglescout.com/jobs/ \n* The BEST team. \n* Remote-first culture.\n* International Retreats.\n* Access to Jungle Scout tools & experts.\n* Performance Bonus. \n* Flexible Vacation.\n* Comprehensive Health Benefits & Retirement Program (US and Canada) \n\n**We prioritize Diversity, Equity, and Inclusion \n**\nAt Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. \n\nJungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n*All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.* \n\nBe sure to mention the words **CUPBOARD SCHEME MODIFY** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $200,000/year\n \n\n#Location\nNorth America and South America


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Ampcontrol


verified closed
🌏 Worldwide
 
💰 $50k - $120k

data scientist

 

algorithm

 

electric vehicles

 

heuristic

Ampcontrol

ampcontrol.io

🔎3,384 views

✅ -3 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\nBe sure to mention the words **CASTLE MEAN AROUND** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $50,000 — $120,000/year\n \n\n#Location\n🌏 Worldwide


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Shopify


verified closed
Canada, United States
 
💰 $80k - $120k*

data scientist

 

python

 

big data

 

object oriented programming

Shopify

Shopify

shopify.com

🔎2,685 views

✅ 120 applied (4%)

This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Job Description**\n\nDo you get excited about all things Data? Are you looking for a role where you can see the tangible results of your work? If you're excited by solving hard, impactful problems and you have a passion for logistics then our Staff Data Scientist may be right for you.\n\n**Qualifications**\n\n* 7-10 years of commercial experience in a data science role solving high impact business problems\n* You have well built technical experience that inspires individual contributors creativity and innovation.\n* You have experience with product leadership and technical decision making.\n* You have been working closely with various levels of business stakeholders, from c-suite and down.\n* You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.\n* Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.\n* Experience creating data product strategies, data products, iterating after launch, and trying again.\n* Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals.\n\n**What would be great if you have:**\n\n* Previous experience using Spark.\n* Experience with statistical methods like regression, GLMs or experiment design and analysis.\n* Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.\n\n**Additional information**\n\nIf you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. \n\nBe sure to mention the words **DRAGON TRIP ANNOUNCE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Scientist, Python and Big Data jobs that are similar:\n\n $80,000 — $120,000/year\n \n\n#Location\nCanada, United States


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Shopify


verified closed
United States, Canada
 
💰 $60k - $120k*

senior

 

data scientist

 

azure

Shopify

Shopify

shopify.com

🔎2,979 views

✅ 128 applied (4%)

This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nBe sure to mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Senior and Data Scientist jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nUnited States, Canada


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Aula


verified closed
GMT -6 to GMT +1
 
💰 $100k - $120k

other

 

sql

 

user journeys

 

data stories

Aula

Aula

aula.education

🔎3,704 views

✅ 432 applied (12%)

This job post is closed and the position is probably filled. Please do not apply.
#### Help our team make important decisions everyday.\n\nAs our first Senior Data Analyst at Aula you will help our leaders make data-informed decisions by analyzing and visualizing data to tell compelling stories. Our core focus here at Aula is in enabling both us and our educators to make data-informed decisions. You will be a key player at the center of our Data first approach.\n\n### TL;DR\nPermanent Full-time Remote Role for anyone between GMT +1 and GMT -6 hours\nReporting to: [Kelly Burdine (Data Lead)](https://www.linkedin.com/in/kellyburdine/)\nHigh-impact, high visibility role in a fast paced EdTech startup\nSalary: £73 - 85k ($100k-$116k) based on location and level of experience\nBehind the scenes look at our data stack; Fivetran, Stitch, dbt, Snowflake, and Metabase\n\n### Aula is the Learning Experience Platform (LXP) for higher education.\n\nWe are building a community-first product that brings together students and educators in a digital environment to interact and collaborate.\n\nOur team’s core focus is enabling both Aula and our educators to make data informed decisions. We build things core to decision making within the business and a recommendations feature within our product that helps educators help students succeed.\n\n### You are\n\n* Passionate about data. You have the curiosity and self-drive to continuously learn new techniques and tools to extract value from data\n* Someone who has a lot of attention to detail. You have a high bar for quality and consistency\n* A storyteller. You know how to extract and communicate insights out of data to drive action\n* A problem solver. You know how to break a problem down and balance short term goals with long term objectives\n\n\n### You will\n\n* Be a part of a high-performing and inclusive team that values autonomy.\n* Work with your teammates to set high goals — and celebrate success when we hit them.\n* Contribute to building a collaborative, productive and friendly remote workplace.\n* Double the percentage of educators who say they love Aula by analyzing and identifying trends in usage and survey data and providing those insights to our PMs to create the most impactful product roadmap\n* Identify the core action(s) that help educators realize the value of Aula and improve retention\n* Help our educators and partner institutions understand Aula’s impact on student outcomes by analyzing product usage, university data, and survey data and creating top-notch reporting\n* Analyze product usage to understand which educator actions drive student engagement and provide those insights through a new insights and recommendation feature in Aula\n* Build, maintain, and communicate company level metrics\n* Design and build out analytic data models that support answering questions from our product team and company leaders\n* Build new and exciting revenue streams with Data\n\n**As an organisation we are remote first, asynchronous by default.** Our rituals allow us to have a team based all around the world and deliver reliable and accurate data solutions. We want this person to have several hours overlap with the rest of the data team so we’re hiring from anywhere Greenwich Mean Time (GMT) and -6 hours of GMT (London to Chicago). We’re not hiring from places that require a graveyard shift to make the overlap happen.\n\n## What you need to do the Job\n\nThe most important thing about you is that you are curious and care deeply about how data empowers better decision making. You are transparent, considerate and ready to work hard to further our mission.\n\n### Must-have experience:\n\n* Strong SQL skills\n* Experience using analytic techniques such as segmentation, hypothesis testing, regression, and clustering\n* Experience building reports and dashboards with a modern data visualization tool (e.g. Metabase, Re:dash, Looker, Mode, Sisense)\n\n### Nice to have experience:\n\n* with a modern data warehouse (e.g. Snowflake, BigQuery, Redshift)\n* Working with Git and Python\n* Modeling data with dbt\n* Working in SaaS, analyzing product usage data and designing and analyzing A/B experiments\n* You approach everything you do proactively and are always looking for ways to improve and innovate. You understand that this is a small team in a startup that is scaling and are excited to contribute to the Aula story.\n\n## About the team\nOur Data team is made up of a team lead, analytics engineer, data analyst (you!), and user researcher. We work closely with our product, commercial, and operations teams to provide the reporting and insights for internal decision makers. We are also working to provide our students and educators data and insights within the Aula platform.\n\n**Our virtues are what makes Aula as an organisation unique.**\n\nOur commitment to diversity and inclusion should not be mistaken with building an organisation where 8 billion people would thrive. We lean into what makes Aula unique: we’re building an organisation where high performing people are silly ambitious about improving education - at scale.\n\n**We judge our virtues by what we do, not what we say.** \n\nOur virtues are\n* 🚀 Silly Ambitious\n* 🔍 Uncomfortably Focused\n* 🗣 Transparent by Default\n\n### A fair chance\n\nEvery role in the Aula team is open to applications from all sections of society. We believe in the superpowers and potential of everyone; regardless of race, religion or belief, ethnic origin, different physical ability, family structure, socio-economics, age, nationality or citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other difference that makes you, well, you.\n\nMore than just encouraging your application, we're committed to conscious inclusion that (we hope) cultivates an ethos of belonging, connection and shared purpose. It’s this philosophy that drives us towards our mission, and we open our doors to those who share these motivations. \n\nBe sure to mention the words **DISCOVER ACTION VELVET** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $120,000/year\n \n\n#Location\nGMT -6 to GMT +1


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AlphaSights


🎈 verified closed
Remote, New York
 
💰 $60k - $120k*

data scientist

 

machine learning

 

sql

 
AlphaSights

AlphaSights

alphasights.com

🔎3,958 views

✅ 547 applied (14%)

This job post is closed and the position is probably filled. Please do not apply.
**Experienced Data Scientist**\n\nAt AlphaSights, we search through hundreds of millions of professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organizations. Our mission is to provide access to dispersed, hidden, and underutilized knowledge.\n\nAlphaSights' Data Scientists help to build new products and improve search and discovery. Working collaboratively with teams across the company, both within Engineering and with stakeholders, you will apply Machine Learning, data analysis, and predictive analytics to help distinguish signal from noise. You will work with unique, proprietary data sets that offer a window onto the world economy. Ultimately, your work will power the next generation of features to help us build our knowledge on demand offering.\n\n**You will:**\n\n- Have a good degree of autonomy, owning the full spectrum of data driven projects \n\n- Build recommendation systems and predictive models\n\n- Work directly with stakeholders and teams generating custom data sets to fully understand the problem being modeled\n\n- Write production level code to expose the models that you build\n\n- Contribute to our open source projects\n\n**You might be a fit if you:**\n\n- Have 3+ years of industry experience\n\n- Have experience with Machine Learning (ML), Statistical Modeling, Recommendation Systems, or Natural Language Processing (NLP)\n\n- Have strong SQL skills and enjoy extracting and manipulating data\n\n**Who you would work with:**\n\n- You would join a dynamic, multinational, and diverse team who enjoy solving interesting problems in a collaborative environment\n\n- Your co-workers will include motivated recent graduates from top Computer Science schools as well as experienced industry leaders from companies such as Google and Amazon\n\nDon't worry if your experience or background doesn't match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to [hear from you]. \n\nFind out more: http://engineering.alphasights.com \n\nBe sure to mention the words **BIKE NOISE GUIDE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Scientist, Machine Learning and SQL jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nRemote, New York


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NannyML


verified closed
🇪🇺 EU
 
💰 $60k - $100k

machine learning

 

artificial intelligence

 

senior

NannyML

NannyML

nannyml.com

🔎1,682 views

✅ 143 applied (9%)

This job post is closed and the position is probably filled. Please do not apply.
# About the Role\n\nWe are looking for a Senior Data Scientist to help us prototype and implement AI monitoring systems. You will work along with a team of experienced Data Scientists, Data Engineers and Software Engineers. You will be responsible for implementing AI monitoring algorithms. As we grow NannyML, we expect you to grow with us. We envision your path may grow from your position into ML Engineering Team Lead. You will get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\n## Responsibilities\n\n* Research, prototype and implement Drift Detection algorithms, time-series anomaly detection, and other ML monitoring algorithms.\n* Tackle new research and ML problems and implement efficient and effective solutions.\n* Take part in customer meetings and help with client on-boarding to fully understand and fulfill their needs.\n* Help design and develop new internal tools to facilitate product development and algorithmic research.\n* Work closely with the founding to help define the technical roadmap.\n\n# About Us\n\nNannyML is an early stage [venture funded](https://www.eu-startups.com/2020/10/belgian-ai-monitoring-startup-nannyml-secures-e1-million-to-bridge-the-gap-between-ai-and-business/) start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions and a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that we extract from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n## Our values\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit. You will be working closely with the founding team. The team previously founded a specialized machine learning company, where they became experts at building machine learning systems.\n\n# Basic Requirements\n\n* Ignore everything below (including the compensation) if you have significant hands-on experience in AI monitoring\n* 3+ years of previous experience developing production ready Machine Learning models on tabular or time-series data\n* Deep understanding of statistical methods and modern ML algorithms and experience evaluating the suitability of various approaches for a use case\n* Strong experience in Python data stack and ML deployment technologies\n* Software engineering best practices, version control, containerization and testing\n* Exceptional communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right\n* You live in or are willing and able to relocate to EU time zones and you are open to travel occasionally\n\n## Nice to haves\n\n* ML publications, popular technical blog or significant open source contributions\n* Familiarity with model risk management, model monitoring or model maintenance\n* Masters or PhD degree in a STEM related field\n* Experience working at a data-focused startup\n\n# Benefits\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Compensation: up to 85,000 EUR/year + equity \n\nBe sure to mention the words **COYOTE STAMP VIOLIN** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $60,000 — $100,000/year\n \n\n#Location\n🇪🇺 EU


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Shopify


verified closed
United States, Canada
 
💰 $60k - $130k*

ecommerce

 

python

 

big data

Shopify

Shopify

shopify.com

🔎4,906 views

✅ 444 applied (9%)

This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Job Description**\n\nDo you get excited about all things Data? Are you looking for a role where you can see the tangible results of your work? If you're excited by solving hard, impactful problems and you have a passion for logistics then our Staff Data Scientist may be right for you.\n\n**Qualifications**\n\n* 7-10 years of commercial experience in a data science role solving high impact business problems\n* You have well built technical experience that inspires individual contributors creativity and innovation.\n* You have experience with product leadership and technical decision making.\n* You have been working closely with various levels of business stakeholders, from c-suite and down.\n* You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.\n* Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.\n* Experience creating data product strategies, data products, iterating after launch, and trying again.\n* Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals.\n\n**What would be great if you have:**\n\n* Previous experience using Spark.\n* Experience with statistical methods like regression, GLMs or experiment design and analysis.\n* Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.\n\n**Additional information**\n\nIf you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. \n\nBe sure to mention the words **WAY PURCHASE UPSET** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Ecommerce, Data Science and Python jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\nUnited States, Canada


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Iterative


🎈 verified closed
🌏 Worldwide
 
💰 $60k - $130k*

git

 

machine learning

 

open source

Iterative

Iterative

iterative.ai

🔎25,091 views

✅ 2,312 applied (9%)

Iterative is also hiring a:

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We’re a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWe’re seeking a Developer Advocate to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n- Craft blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n- Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n- Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n- Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n- Lead community-building events like virtual meetups and present at relevant industry conferences\n- Be analytical and data-driven in creating useful content for the community. Define, report and analyze metrics to understand our community’s needs and interests.\n\n## Skills we’re looking for\n- Experience in either data science or open source software.\n- Experience blogging or publishing technical content online. Bonus points if it’s related to open source or data science. \n- Experience building and/or managing a technical community.\n- Understanding of Git, Git-flow and CI/CD. You don’t have to be a superuser, but we make tools built around Git and you’ll need to know how to use them.\n- Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital - platforms kindly and clearly.\n- Proficient written and spoken English is required. \n \n### Mega bonus skills\n- Knowledge of our tools and the MLOps space\n- A strong existing network in data science or open source\n\n### Perks\n- A fully remote job with a competitive salary and benefits package.\n- Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n- This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n- Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n- You will get a [DeeVee](https://twitter.com/DVCorg/status/1314668966082572288/photo/1). \n\nBe sure to mention the words **BUILD CRUISE ARMOR** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Git and Machine Learning jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\n🌏 Worldwide


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Iterative


verified closed
🌏 Worldwide
 
💰 $60k - $130k*

git

 

machine learning

 

developer relations

Iterative

Iterative

iterative.ai

🔎15,860 views

✅ 250 applied (2%)

Iterative is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
We’re a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ?). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWe’re seeking a **Technical Community Manager** to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n\n* Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n* Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n* Make blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n* Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n* Lead community-building events like virtual meetups and our ambassador program. \n* Be analytical and data-driven in building and nurturing the community. Define, report and analyze metrics to understand our community’s needs and growth. \n\n\n## Skills we’re looking for\n* Experience in either **data science or open source software**.\n* Experience building and/or managing a ** technical community**.\n* Understanding of Git, Git-flow and CI/CD. You don’t have to be a superuser, but we make tools built around Git and you’ll need to know how to use them.\n* Experience blogging or publishing technical content online. Bonus points if it’s related to open source or data science. \n* Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital platforms kindly and clearly.\n* Proficient written and spoken English is required. \n \n**Mega bonus skills**\n* Knowledge of our tools and the MLOps space\n* A strong existing network in data science or open source\n\n## Perks\n* A fully remote job with a competitive salary and benefits package.\n* Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n* This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n* Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n* You will get a DeeVee.\n\n \n\nBe sure to mention the words **GRASS EXCESS UNVEIL** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Git, Data Science and Machine Learning jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\n🌏 Worldwide


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komoot


verified closed
🇪🇺 EU
 
💰 $70k - $110k*

backend

 

kotlin

 

java

 

scala

komoot

komoot

komoot.de

🔎10,341 views

✅ 253 applied (2%)

This job post is closed and the position is probably filled. Please do not apply.
**Remote (Europe) | Full- time & Permanent role | Outdoor navigation app | 15+M users | 70 employees + 40 freelances | squad structure**\n\n**Senior Backend Developer/ Data Scientist @ komoot (Kotlin/Java/Scala) & Python**\[email protected] komoot We are building the best outdoor navigation planner and the biggest outdoor community and simply inspire people to explore more of the outdoors.\n\n**15million users | 100k 5* reviews**\n\nWe are now searching for a** Senior Backend Engineer/ Data Scientist** who would like to take their skills to the next level, love to find simple and smart solutions to complex problems and focuses on delivering impact.\n\n Komoot possesses a unique dataset of **user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback**. To get the biggest value from this raw data, we need your excellent software and analytical skills. \n The challenges include automatic evaluation and classification of our user-generated content as well as innovative approaches to assembling them into consumable inspiration for users (e.g. auto-generated tour suggestions tailored to users’ sport and location). \n You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. \n We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success\n\n**What you will do**\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n* Discuss product improvements, technical possibilities and road maps\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n* Turn prototypes into resilient and scalable REST APIs and background workers\n* Deploy and monitor your code in our AWS Cloud\n\n**You will be successful in this position if you**\n* Have a passion for finding pragmatic and smart solutions to complex problems\n* Have 3+ years of professional experience in backend development in the cloud\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n* Have 2+ years of professional experience in Python\n* Know SQL and NoSQL\n* Have a solid understanding of math and statistics\n* Have a solid understanding of data science fundamentals\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n* Bonus: Infrastructure as Code\n* Bonus: Deployment, CI and monitoring\n* Have strong communication and team skills\n* Have a hands-on attitude and are highly self-driven\n\nFor more information you can click the apply link which will direct you to our website.\nTo find out more about how we recruit people/ salary etc you can follow this link: https://www.komoot.com/jobs-process\n \n\nBe sure to mention the words **TWENTY HAVE PLACE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Backend, Kotlin and Java jobs that are similar:\n\n $70,000 — $110,000/year\n \n\n#Location\n🇪🇺 EU


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Bonfire


🎈 verified closed
🌏 Worldwide
 
💰 $60k - $140k*

sql

 

data analyst

 

business intelligence

 
Bonfire

Bonfire

bonfire.com

🔎8,964 views

✅ 698 applied (8%)

This job post is closed and the position is probably filled. Please do not apply.
Bonfire is an ecommerce platform where anyone can design and sell custom apparel online with a no-inventory campaign-based model. Our users range widely, including nonprofits raising money and building brand awareness, content creators engaging their audiences, individuals launching personal fundraisers and everything in between.\n\nOur development team is small, dynamic, and completely remote, and we are excited to have a talented ***SQL Data Analyst*** join us.\n\n**About you:**\n\n* You are comfortable writing and understanding complex SQL queries.\n* You can help the stakeholders formulate their requests and can help them tweak the queries to get the most useful reports.\n* Your English communication skills are excellent.\n\n**The role:**\n\n* The Data Analyst is responsible for querying information from SQL databases and other sources and organizing it into coherent reports.\n* You will work directly with several stakeholders around the company who will ask you to gather data and generate reports to them.\n* Many of the stakeholders are knowledgeable about databases and will work with you to tweak the queries and adjust them to their needs.\n* We will work with you to create a centralized repository of reports and graphs that show which data is queried, how it is queried and what the results look like.\n\n**The work environment:**\n\nThis is a completely remote position, but it is a full time commitment. You will work closely with other developers and will occasionally be called in a remote VOIP meeting. We try to keep things agile, but we avoid ceremonies and unnecessary meetings.  We try to keep the workflow streamlined and fun for all developers.\n\n**About Bonfire:** \n\nBonfire.com is transforming the way people buy and sell high ­quality custom apparel. Based in Richmond, VA since 2012, we have helped thousands of organizations and individuals raise millions of dollars for the causes they care about on bonfire.com.\n\n**You’re in good company (with a good company). We offer:**\n\n* Competitive compensation\n* A positive, engaging culture and dynamic team environment\n* The chance to make a real impact on the company’s growth and history\n* The ability to help make a difference in thousands of people’s lives\n* An environment to grow your skills, learn new technologies, and to challenge yourself (while having fun)\n\n\n \n\nBe sure to mention the words **WAVE THEORY RUNWAY** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to SQL, Business Intelligence and Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\n🌏 Worldwide


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Interaction Design Foundation


🎈 closed
🌏 Worldwide
 
💰 $60k - $100k*

sem

 

seo

 

ecommerce

 

analytical skills

Interaction Design Foundation

Interaction Design Foundation

🔎8,283 views

✅ 1,007 applied (12%)

This job post is closed and the position is probably filled. Please do not apply.
Would you like to use your strategic **analytical and marketing skills** to bring affordable education to millions of people? Great! Then, read on! We’re looking for a **Head of Digital Marketing** who also loves **getting nerdy with analytics and data.** If you are an expert in digital media strategy who is equally passionate about big-picture planning and detailed, perfect execution, then this is the perfect role for you!\n\nThe Interaction Design Foundation is the biggest online design school globally. Founded in 2002, we have over 80,000 graduates and counting. We're **market leaders** in online design education because **the world's leading experts** create our content—and because we specialize in design. What’s more, with over 1.5 million monthly visitors, we’re at the forefront of providing premier design education to such organizations as IBM and SAP, as well as tens of thousands of other members.\n\nThis is where your **humanity-loving and hard-science sides** play equally important roles. We deal with **big numbers,** but we always **put faces to them** as we hold our mission keenly in sight and pride ourselves on helping real people. **For every conversion you generate, you bring a member into our platform and help improve the life and career of that person.** And not only that, these members will go on to design better products and services to the benefit of all humankind.\n\nThis is a paid, **full-time** position. You'll be **location-independent** and will therefore be free to work from wherever you want in the world. You will have daily video-based contact with your colleagues and will get to meet them physically on team trips (see below).\n\nSo, if you want the chance to **do the best work of your life**, if you’re hungry to develop yourself professionally and if you’re ready to change the future of education, congratulations – you’ve come to the right place!\n\n## What you will be doing\nYou will work closely with the growth team and parts of the design and development team. Your responsibilities will be multifaceted and can be adapted to your skills and interests. We’re growing fast, so you’ll have limitless opportunities to grow your skills and professional muscles.\n\nSome of the responsibilities that lie ahead of you would be to **manage, optimize and scale**:\n\n- Our online advertising strategy, budgets and plans across SEM, Display networks, social media, Facebook Audience Network and more– everything from account structure to budget allocation to regular copy and creative optimizations.\n- Revenue and traffic via our network of affiliates – which includes the top industry influencers and authors. \n- Our SEO efforts and organic search rankings – with more than **100,000 external pages linking to us**, you’ll manage and grow a veritable **SEO Superpower**.\n- Our analytics efforts – and provide the design, dev and editorial teams with actionable advice and directions.\n- Our split tests and growth-hacking efforts– your insights will drive conversion-centered redesigns of key flows.\n- Expansion into new marketing platforms and strategies.\n\n## About you:\n\n- You have 5+ years of experience with digital marketing.\n- You have leadership experience in digital strategy and digital marketing, and have led teams or departments responsible for SEM and social media advertising.\n- You are very well-versed in executing digital strategy in the form of account structure, campaign and ad group planning, creative ad set-up, daily analysis and optimization. You should have experience single-handedly carrying out all of the above.\n- You have managed and optimized ecommerce campaigns and you have documented results from your previous work in online ad optimization.\n- You’re a nerd when it comes to data and analytics, and hence love to quantify your work and results (perhaps slightly obsessively – don’t worry; that’s a plus here!).\n- Your middle name is “Optimization” – you know what we mean. ;-) \n- You’re a passionate and organized self-starter, who doesn’t accept the status quo, but always seeks to improve, optimize and automate in order to enhance performance.\n- You have many years of hands-on experience with improving SEO-related parameters.\n- You’ve demonstrated the ability to effectively manage and optimize campaigns of a minimum budget of $10,000 per month, with clearly defined ROI targets.\n- You have a sharp eye for the customer journey and a deep understanding of the qualitative factors that influence it.\n- You’ve got “that eye” to forecast effectively using data that would make others scratch their heads.\n\n## Bonus Points\nYou get bonus points if you …\n\n- Have a Master’s Degree in Business, Marketing, Psychology or another relevant discipline.\n- Are certified in Google AdWords and Analytics.\n- Have attained Facebook Blueprint Certification(s).\n- Have experience with working remotely.\n \n\nBe sure to mention the words **MATH MODEL DECREASE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to SEO, Ecommerce and Marketing jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Location\n🌏 Worldwide


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# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Sporty


🎈 verified closed
🌏 Worldwide
 
💰 $20k - $70k

mysql

 

oracle

 

sql

 

metabase

Sporty

Sporty

sporty.com

🔎6,646 views

✅ -1 applied (0%)

This job post is closed and the position is probably filled. Please do not apply.
### Company Overview\nSporty is a mobile internet company with a focus on emerging markets. Our integrated sports media, betting, gaming and social platform serves a huge userbase across numerous countries. We have a talented and proven team of 200+ people comprised of 50+ tech staff and 150+ product, operations and support, and are looking to expand our tech team count to 100+ people as we look to drive further geographical expansion, whilst iterating on our offering with a user-driven development approach.\n\n### Tech Stack\n* Oracle\n* mySQL\n* AWS/RDS\n* Python\n* Metabase\n\n### Benefits\n* Competitive salary \n* Quarterly bonuses \n* Flash bonuses \n* Top-of-the-line equipment \n* Pick your own working hours (We are at GMT+8, and 4 hours overlap is required.)\n* 20-days paid leave \n* Referral program \n* Education allowance (conferences, books, training courses, Udemy, Coursera, etc.) \n* Annual company trips (eg next year Koh Samui, Thailand) \n* Small enough to allow you to have a big impact \n* Large enough to provide structure and clarity \n* Highly-talented, dependable co-workers \n* Global, multi-cultural organization\n# Responsibilities\n* Delivering clear analysis and reporting of core business metrics to shareholders\n* Creation and management of reports and dashboards\n* Monitoring the performance of key business products\n* Providing actionable insight to drive growth of core products\n* Extraction and analysis of large data sets from MySQL/Oracle DBs\n* Ad hoc analysis and reporting to clients and shareholders\n\n# Requirements\n* Delivering clear analysis and reporting of core business metrics to shareholders\n* Creation and management of reports and dashboards\n* Monitoring the performance of key business products\n* Providing actionable insight to drive growth of core products\n* Extraction and analysis of large data sets from MySQL/Oracle DBs\n* Ad hoc analysis and reporting to clients and shareholders \n\nBe sure to mention the words **TOMORROW ACID BRACKET** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $20,000 — $70,000/year\n \n\n#Location\n🌏 Worldwide


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InReach Ventures


verified closed
UK or Italy

machine learning

 

ai

 

data

 
InReach Ventures

InReach Ventures

inreachventures.com

🔎4,469 views

✅ 283 applied (6%)

This job post is closed and the position is probably filled. Please do not apply.
InReach is changing how VC in Europe works, for good. Through data, software and Machine Learning, we are building an in-house platform to help us find, reach-out to and invest in early-stage European startups, regardless of the city or country they’re based in.\n\n\n\nWe are looking for a machine learning engineer to lead in the continued development of InReach’s machine learning capabilities. This involves cleaning / wrangling / merging / processing the data on companies and founders from across Europe, building algorithms to find new opportunities, and the pipelines for continuous improvement.\n\n\n\nIt is important to us that candidates be passionate about helping entrepreneurs and startups. This is our bread-and-butter and we want you to be involved.\n\n\n\nThis is a remote-first role, whether you're in the office in London or working remotely, so we are looking for someone with excellent written and spoken communication skills. InReach is a remote-first employer and we are looking to this hire to help us become an exceptional place to work for remote employees.\n\n\n\n**Background Reading**\n\n* [ InReach Ventures, the 'AI-powered' European VC, closes new €53M fund](https://techcrunch.com/2019/02/11/inreach-ventures-the-ai-powered-european-vc-closes-new-e53m-fund/?guccounter=1)\n\n* [The Full-Stack Venture Capital](https://medium.com/entrepreneurship-at-work/the-full-stack-venture-capital-8a5cffe4d71)\n\n* [Roberto Bonanzinga starts InReach Ventures with DIG platform](https://www.businessinsider.com/roberto-bonanzinga-starts-inreach-ventures-with-dig-platform-2015-11?r=US&IR=T)\n\n* [Exceptional Communication; our guidelines for remote working](https://www.craft.do/s/Isrjt4KaHMPQ)\n\n\n\n**Interview Process**\n\n* 15m video chat with Ben, CTO to find out more about InReach and the role\n\n* 2h data pipeline technical test working alongside Ben\n\n* 2h data science technical test working alongside Ghyslain, Product Manager\n\n* 30m architectural discussion with Ben, talking through the work you did on the pipeline\n\n* 30m data science discussion with Ghyslain, talking through the data science work\n\n* 2h interview with the different team members from across InReach. We’re a small company so it’s important we see how we’ll all work together - not just the tech team!\n\n# Responsibilities\n * Creatively and quickly coming up with effective solutions to undefined problems\n\n* Choosing technology that is modern but not hype-driven\n\n* Developing features and tests quickly with good, clean code\n\n* Researching and experimenting on algorithms in a structured fashion, using engineering discipline\n\n* Being part of the wider development team, reviewing code and participating in architecture from across the stack\n\n* Communicating exceptionally, both asynchronously (written) and synchronously (spoken)\n\n* Helping to shape InReach as a remote-first organization \n\n# Requirements\n**Skills**\n\n* Excellent spoken and written English\n\n* Experience working for a remote organization or be able to compellingly describe why you'll be great at it!\n\n* Great time management and communication\n\n\n\n**Technologies**\n\n* Python3\n\n* Jupyter Notebooks\n\n* Pipenv\n\n* Python Unittest\n\n* Postgres\n\n* Pandas\n\n\n\nNone of these are a prerequisite, but help:\n\n* SQS\n\n* Dynamodb\n\n* Scikit Learn\n\n* Pandas\n\n* AWS Lambda\n\n* Docker\n\n* Numpy\n\n* PyTorch \n\nBe sure to mention the words **GODDESS HOPE PULSE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\nUK or Italy


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Kokoon Technology Ltd


closed
🇪🇺 EU

ruby

 

postgresql

 

python

 

Kokoon Technology Ltd

🔎4,923 views

✅ 427 applied (9%)

This job post is closed and the position is probably filled. Please do not apply.
The role: The successful candidate will need the ability to contribute and take ownership on a variety of challenges associated with the backend development. They will be working closely with our small and passionate in-house product development team who focus in different areas including: product design, data science, bio-sensing, IoT and audio systems. The Backend Developer role involves taking features from conceptualisation and prototyping through to production and maintenance, it will ideally suit someone with broad production experience using Ruby on Rails/ Dockers/ PostgreSQL and Python. Ruby/Rails will be the most important area of experience for this role. We expect the candidate to be able to bring their expertise for designing for maintainability, reliability and scalability to the fore. The role suits a candidate who has excellent existing backend technology knowledge but also maintains a thirst for expanding their expertise, can concisely communicate their ideas to cross-functional team members and can balance their workload to effectively meet the needs of the business. We are considering remote workers for the role, so ability to do this effectively is important.\n\nA bit about the backend: The backend manages all audio, bio-sensor and usage data, sensor data processing and (ML based) algorithms, personalised audio recommendation system and is used for ongoing data science and research purposes. Ruby on Rails is used for the main backend app.\n\nAbout the Company:\n\nKokoon Tech is an award winning, venture capital backed, health and wellness start-up based in London with a mission to help the world relax and sleep better. Kokoon Tech are doing this by gaining a uniquely deep understanding of the link between relaxation/sleep and audio content. Their apps, associated backend systems and sensor-enabled products provide adaptive audio content and coaching clinically shown to induce and protect relaxation. After shipping their first headphone product in 2018 they have shipped over 27,000 units to over 50 countries. \n\nBenefits\n• Competitive salary\n• Generous share option \n• Pension scheme\n• Friendly/dynamic team\n \n\n# Requirements\nRole experience requirements:\n• 5+ years professional Backend Development experience with Ruby on Rails.\n• Active Admin\n• PostgreSQL\n• Containerisation (Docker)\n• Data migration and analysis\n• Sidekiq job scheduling (or equivalent)\n• Python \n• RSpec and preparing Integration and end-to-end tests (or equivalent)\n• System monitoring tools (such as New Relic/Airbrake)\n• Degree in Software/Computer Science (or similar technical/engineering degree) or proven experience in development and design of backend applications.\n• Full software development lifecycle experience from design phase through to production and maintenance.\n• Good understanding of design patterns\n• Excellent professional skills.\n• Experience with Github SCM\n\nDesirable skills/experience include\n• DevOps\n• Machine Learning\n• Data Science \n\nBe sure to mention the words **INPUT HAIR OUTER** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n🇪🇺 EU


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Vendrive


verified closed
🇺🇸 US
 
💰 $60k - $130k*

golang

 

postgresql

 

postgres

Vendrive

Vendrive

vendrive.com

🔎5,991 views

✅ 480 applied (8%)

This job post is closed and the position is probably filled. Please do not apply.
# Description\nOur mission is to standardize the B2B supply chain to allow for the more efficient operation of retailers, distributors and manufacturers alike. We've started with the automation and streamlining of day-to-day operations carried out by online retailers. Our price management software, Aura, proudly supports over 1,000 Amazon merchants and processes over 750-million price changes on the Amazon marketplace each month.\n\nOur profitable bootstrapped company was founded in 2017 by a pair of Amazon sellers with a background in engineering. We're a team of die-hard nerds obsessed with big data and automation.\n\nWe're looking for a Backend Software Engineer with experience in distributed systems and an entrepreneurial mindset to join us.\n\nOur growing team is remote-first, so it's important that you're able to communicate clearly and effectively in such an environment. We meet regularly, so we require that prospective team members' timezones are in alignment with ours (UTC-10 to UTC-4).\n# Responsibilities\n* Design and implement core backend microservices in Go\n* Design efficient SQL queries\n* Follow test-driven development practices\n* Conduct design and code reviews\n* Participate in daily standups and weekly all-hands meetings\n# Our Stack\nOur backend follows an event-driven microservice architecture. Here are some of the technologies you'll be using:\n\n* Golang\n* PostgreSQL\n* Redis, Elastisearch\n* Several 3rd Party APIs\n# Benefits\n* Competitive salary\n* Fully remote position\n* Company sponsored health, vision and dental insurance\n* Flexible vacation policy\n* Equity in a profitable company\n* Bi-annual company retreats in locations around the world\n* Startup culture where you're encouraged to experiment\n# Requirements\n* B.S. in Computer Science or relevant field\n* Strong problem-solving and communication skills\n* Experience with relational databases (PostgreSQL) and ability to analyze and write efficient queries\n* Experience with Go in production-grade environments\n* Experience building REST APIs\n* Working knowledge of Git\n# Preferred Qualifications\n* Experience building distributed systems, event-driven microservice architecture, CQRS pattern\n* Previous remote work experience\n* Experience integrating with Amazon MWS (Marketplace Web Service)\n* Experience with Redshift, writing performant analytical queries\n* Experience collaborating via Git\n* Hands-on experience with highly concurrent production grade systems\n* Understanding of DevOps, CI/CD\n* Experience using AWS services (EC2, ECS, RDS, Redshift, SNS, SQS, etc.)\n* Understanding of the key metrics which drive a startup SaaS business (MRR, LTV, CAC, Churn, etc.) \n\nBe sure to mention the words **REFORM OBLIGE SPOT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Golang, PostgreSQL and Data Science jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\n🇺🇸 US


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Smile.io


closed
🌏 Worldwide
 
💰 $60k - $120k*

data analysis

 

analyst

 

senior

Smile.io

Smile.io

smile.io

🔎5,931 views

✅ 477 applied (8%)

This job post is closed and the position is probably filled. Please do not apply.
Smile is the largest provider of reward programs in the world. We reward tens of millions of people every year, and power rewards programs for thousands of businesses around the world. With all this data, we’re looking for talented Data Analysts to join the growing Data Science team. The ideal candidate is data curious, detail-oriented, great at communication, and loves solving problems. We’ve got big scaling plans in 2019 and beyond - we need amazing talent to achieve our goals and you get to be the one to find them and bring them to Smile!\n\nWhat’s it like to work at Smile.io?\n\nWe are a team of smart self-starters who build efficient and unique solutions to problems. You’ll be working with some amazing talent and you'll constantly be pushed to challenge yourself and improve your skills. This starts in the interview process, where you’ll be asked to show us your skills in real-time. It’s not an easy process, but we think you’ll find it rewarding and a great preview to what working here is really like.\n\nAs a team, we’re driven by these core values:\n\nBe Humble - think of the team before thinking of yourself. We have no room for massive egos.\nBe Hungry - set hard goals, ask lots of questions and learn every day.\nBe Human - show empathy towards others, consider the impact of your decisions on other teams.\nWe collaborate on everything. Our communication tools and our space are designed with this in mind - from physical areas to connect in comfort to Slack channels of all sorts, we enable you to reach out to those around you to make sure you have the information you need to make great decisions.\n\nWe know that Smile.io as a business is in constant evolution - the same is true of our people. We’re here to support each other in our growth, so we talk openly about our career goals, hopes & dreams. With such a diverse team of people, we know we can offer you the mentorship, tools and encouragement you need to grow.\n\n# Responsibilities\n Immediate Challenges:\n\nJumping in and getting your hands dirty with large-scale datasets\nThinking about the big picture to help develop our longer-term data strategy\nContributing to the conceptualization of the overall Data strategy at Smile\nResponsibilities:\n\nWork closely with Sales, Marketing, and Finance teams to identify important questions, define key success metrics, and shape data-informed product/business strategies\nSolve challenging business problems through hands-on analytics work\nAdd value to our products and clients through deep analysis and insights and compelling narratives\nDevelop strong hypotheses, independently solve problems and influence major business decisions with sound data and reasonin \n\n# Requirements\nWhat we’re seeking:\n\n3+ years of experience in a Data Analyst role or related position\nA love of solving complex business problems using your strong analytical skills\nSelf-motivated and independent, ability to learn and adapt in a fast-paced environment\nExcellent communication skills, with the ability to clearly explain technical terms to a non-technical audience\nHands-on experience with relational databases\nExperience and passion for developing the right metrics and dashboards/visualization\nTraits or experience we’d love to see (you don’t need them all to apply!):\n\nExperience with teaching and/or presenting to an audience\nHands-on experience with relational databases\nEquivalent Experience or Post-Secondary education in Computer Science, Software Engineering, statistics, economics, mathematics, or similar quantitative discipline \n\nBe sure to mention the words **CORN HOOD MIMIC** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Analyst, Data Science and Senior jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\n🌏 Worldwide


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Vendrive


verified closed
🇺🇸 US
 
💰 $60k - $130k*

golang

 

postgresql

 

big data

Vendrive

Vendrive

vendrive.com

🔎4,490 views

✅ 327 applied (7%)

This job post is closed and the position is probably filled. Please do not apply.
# Description\nOur mission is to standardize the B2B supply chain to allow for the more efficient operation of retailers, distributors and manufacturers alike. We've started with the automation and streamlining of day-to-day operations carried out by online retailers. Our price management software, Aura, proudly supports over 1,000 Amazon merchants and processes over 750-million price changes on the Amazon marketplace each month.\n\nOur profitable bootstrapped company was founded in 2017 by a pair of Amazon sellers with a background in engineering. We're a team of die-hard nerds obsessed with big data and automation.\n\nWe're looking for a **Backend Software Engineer** with experience in distributed systems and an entrepreneurial mindset to join us.\n\nOur growing team is remote-first, so it's important that you're able to communicate clearly and effectively in such an environment. We meet regularly, so we require that prospective team members' timezones are in alignment with ours (UTC-10 to UTC-4).\n\n# Responsibilities\n * Design and implement core backend microservices in Go\n* Design efficient SQL queries\n* Follow test-driven development practices\n* Conduct design and code reviews\n* Participate in daily standups and weekly all-hands meetings\n# Our Stack\nOur backend follows an event-driven microservice architecture. Here are some of the technologies you'll be using:\n\n* Golang\n* PostgreSQL\n* Redis, Elastisearch\n* Several 3rd Party APIs\n# Benefits\n* Competitive salary\n* Fully remote position\n* Company sponsored health, vision and dental insurance\n* Flexible vacation policy\n* Equity in a profitable company\n* Bi-annual company retreats in locations around the world\n* Startup culture where you're encouraged to experiment \n\n# Requirements\n* B.S. in Computer Science or relevant field\n* Strong problem-solving and communication skills\n* Experience with relational databases (PostgreSQL) and ability to analyze and write efficient queries\n* Experience with Go in production-grade environments\n* Experience building REST APIs\n* Working knowledge of Git\n# Preferred Qualifications\n* Experience building distributed systems, event-driven microservice architecture, CQRS pattern\n* Previous remote work experience\n* Experience integrating with Amazon MWS (Marketplace Web Service)\n* Experience with Redshift, writing performant analytical queries\n* Experience collaborating via Git\n* Hands-on experience with highly concurrent production grade systems\n* Understanding of DevOps, CI/CD\n* Experience using AWS services (EC2, ECS, RDS, Redshift, SNS, SQS, etc.)\n* Understanding of the key metrics which drive a startup SaaS business (MRR, LTV, CAC, Churn, etc.) \n\nBe sure to mention the words **CRITIC GARBAGE WANT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Golang, PostgreSQL and Data Science jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\n🇺🇸 US


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Iterative


🎈 verified closed
🌏 Worldwide

open source

 

python

 

dev tools

 

dvc

Iterative

Iterative

iterative.ai

🔎29,893 views

✅ -2 applied (0%)

Iterative is also hiring a:

This job post is closed and the position is probably filled. Please do not apply.
We're a well-funded team building open source tools for ML workflow. Our first and core project, [DVC](https://github.com/iterative/dvc), has excellent traction and positive feedback from community. Our mission as a company is to build tools for engineers and data scientists that they love to use.\n\n**Our culture/what we offer:**\n\n- Team is distributed remotely worldwide.\n- Highly competitive salary, stock options, and bonuses.\n- Open source.\n- Founders and team with strong engineering, data science, and open source experience. We all code and understand engineering first-hand.\n- Engineering team is involved into product discussions and planning. We do it openly via [Github](https://github.com/iterative/dvc) or Discord [chat](https://dvc.org/chat).\n- Besides building the product we participate in conferences (PyCon, PyData, O'Reilly AI, etc). We encourage and support the team in giving talks, writing blog-posts, etc.\n- Well-defined process that we all participate in improving.\n\n**Join us if you like us love building open source and developer tools!**\n\n# Responsibilities\n - Discuss and research issues, features, new products.\n- Write code (see some [PR examples](https://github.com/iterative/dvc/pulls?q=is%3Apr+is%3Aclosed) ).\n- Write docs if needed for your code (see this [repo](https://github.com/iterative/dvc.org )).\n- Being actively involved with the community - talk to users on Github, Discord, forum. \n\n# Requirements\nStrong Python knowledge and excellent coding culture (standards, unit test, etc) are required. Alternatively, strong skill in other languages along with some knowledge of Python is also acceptable.\n\n**Must have:**\n\n- Motivation and interest\n- Remote work self-discipline\n- Excellent communication skills - clear, constructive, and respectful dialog with other team members, community.\n- Can focus and deliver a task w/o constantly switching to other stuff - respect team's planning, deadlines, etc\n\n**Great to have:**\n\n- Experience working remotely\n- Open source contributions or experience of maintaining, developing an open source project\n- System programming experience - kernel, databases, etc.\n- Machine learning or data science experience \n\nBe sure to mention the words **OCCUR LOUD GLOVE** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n /year\n \n\n#Location\n🌏 Worldwide


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komoot


🎈 verified closed
Utc-1 to Utc+3
 
💰 $60k - $120k*

pandas

 

programming

 

outdoors

komoot

komoot

komoot.de

🔎4,546 views

✅ 478 applied (11%)

This job post is closed and the position is probably filled. Please do not apply.
**Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.**\n\nTo help us continue to grow, we are looking for an experienced data scientist dedicated to coding and building production-ready services. With over 8 million active users, komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. Using this data as well as various open data sources, you will drive product enhancements forward that will directly impact the user experience.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\n**Why you will love it**\n* You will be challenged in a wide range of data science tasks\n* You deal with a diverse set of data (user-generated content, analytics data and external data sources)\n* You go beyond prototyping and ship your code to production\n* You contribute to a product with a vision to inspire more people to go outdoors\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n* You’ll enjoy the freedom to organize yourself the way you want\n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n# Responsibilities\n **What you will do**\n* Work closely with our web and mobile developers, designers, copywriters and product managers\n* Discuss product improvements, technical possibilities and road maps\n* Investigate and evaluate data science approaches for product enhancements\n* Write code that is well structured, well tested and documented\n* Enhance existing components and APIs as well as write new services from scratch\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers) \n\n# Requirements\n**You will be successful in this position if you**\n* Have a passion for finding pragmatic and smart solutions to complex problems\n* Have 3+ years of industry experience in data science\n* Have 2+ years of experience in professional programming, preferable in Python or Java\n* Experience in technologies like pandas, numpy, Jupyter Notebooks, seaborn, scikit-learn, PyTorch and TensorFlow\n* Know your toolkit: git, ssh, bash and docker.\n* Experience in AWS, infrastructure as code and monitoring is a plus\n* Have strong communication and team skills\n* Have a hands-on attitude and are highly self-driven \n\nBe sure to mention the words **WAIT SLUSH MENTION** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Programming and Senior jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nUtc-1 to Utc+3


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komoot


verified closed
Utc-1 to Utc+3
 
💰 $60k - $130k*

sql

 

python

 

data_analyst

 

pandas

komoot

komoot

komoot.de

🔎4,398 views

✅ 273 applied (6%)

This job post is closed and the position is probably filled. Please do not apply.
**Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nWe’re looking for an experienced and curious data analyst to help drive product decisions and help us develop the company strategy. We believe that data-informed decision making is key to our success and your skills, curiosity, and experience will play a crucial role in building the future of outdoor experiences.**\n\nWhy you will love it\n* You’ll be a key player in making product development, marketing, and business decisions\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n* You’ll influence and be responsible for the future development of analytics at komoot, technically an organizationally\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n* You’ll enjoy the freedom to organize yourself the way you want \n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n# Responsibilities\n What you will do\n* Turn data into actionable insights\n* Develop analysis to drive product and business decisions and company strategy\n* Design and implement metrics, dashboards, and continuous reports\n* Communicate and discuss findings to different audiences (Co-founders, marketing, product, sales, etc.)\n* Design and lead bigger analytics project to answer komoot’s key questions\n* Organize and prioritize tasks of our data analytics roadmap\n* Be an evangelist of data-informed decision-making\n \n\n# Requirements\nYou will be successful in this position if you\n* Have a burning desire to transform data into actionable insights\n* Have 3+ years of experience in evaluating marketing campaigns, cohort analysis, A/B testing and retention\n* Fluent in SQL and Python’s data analytics libraries (pandas, numpy, matplotlib)\n* Have strong communication and team skills\n* Familiarity with statistical concepts\n* Have a good overview of technical solutions in the data analytics field\n* Have a hands-on attitude and are highly self-driven\n \n\nBe sure to mention the words **SCRAP MAIN PRESENT** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to SQL, Python and Data Science jobs that are similar:\n\n $60,000 — $130,000/year\n \n\n#Location\nUtc-1 to Utc+3


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Biobot Analytics

 This job is getting a high amount of applications right now (118% of viewers clicked Apply)


US Only (Remote Ok)
 
💰 $60k - $140k*

Biobot Analytics is hiring a
Remote Epidemiologist Data Scientist Epidemiology

Biobot, a startup working at the interface of biotech and public health, and is seeking a new Data Science Team member to work at the interface between data science and epidemiology. This position requires an unusual mix of skills, so we are open to many types of candidates. You might be an epidemiologist with some coding and data analysis skills, or you might be a data scientist with some experience with public health.\n\nAs an Epidemiologist or Data Scientist in Biobot’s Data Science Team, you will:\n*Become an expert on the role that wastewater data can play in public health\n*Derive actionable public health insights from Biobot’s wastewater data\n*Communicate with customers, public health officials, and scientists about wastewater-based epidemiology\n*Support efforts to identify new product lines in infectious disease or substance use\n*Manage multiple tasks and changing priorities in a dynamic startup environment\n*Be a flexible team player\n\n\n\nAt Biobot, we believe that the best technologists can improve society and we strive to build a workplace in which everyone can thrive. Our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from women; non-binary, trans, and gender-non conforming individuals; Black and indigenous individuals, and people from other minoritized racial and ethnic groups; and other groups traditionally underrepresented in technology startups.\n\nPlease note that at this time Biobot is unable to sponsor work visas.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nUS Only (Remote Ok)


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Reddit

 This job is getting a high amount of applications right now (63% of viewers clicked Apply)


Austin, Texas, United States
 
💰 $65k - $130k*

senior

Reddit is hiring a
Remote Senior Data Scientist Reddit Talk

\nReddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.\n\nWe are looking for a Senior Data Scientist to work on our Reddit Talk team. Reddit Talk lets people have live audio conversations in their favorite communities. We have strong momentum with top subreddits hosting Talks ranging from AMAs (e.g., r/space with Chris Hadfield) to community conversations (e.g., r/dadjokes) attended by 10,000+ listeners. We’ve also built a community of moderators that we’re working with closely to expand this product. Our vision is to make Talk the go-to surface for live conversations on Reddit in all formats and we are doubling the team to make this happen. As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build one of Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.\n\nHow You’ll Have Impact:\n\nYou’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.\n\nWhat You’ll Learn:\n\nYou will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).\n\nWhat You’ll Do:\n\n\nLead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.\n\nPartner with Eng and Product to define and execute Reddit Talk’s roadmap and initiatives\n\nDefine team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards\n\nCommunicate findings and co-design strategy with the most senior leaders in our organization\n\nMentor and guide data scientists from across the company on best practices, techniques, and thought processes\n\n\n\n\nWho You Might Be:\n\n\n4+ years of experience in Data Science or Analytics function in a tech consumer company \n\nProficiency with relational databases (e.g., SQL)\n\nFamiliarity with statistical analysis and programming languages preferred (e.g., R / Python)\n\nAbility to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred\n\nDemonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses\n\nExperience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)\n\nExperience working with senior cross-functional stakeholders (VP, C-level)\n\nDesire to mentor other data scientists and share best practices to elevate the data science practice at Reddit\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Senior jobs that are similar:\n\n $65,000 — $130,000/year\n \n\n#Location\nAustin, Texas, United States


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Flieber


 
💰 $60k - $140k*

Flieber is hiring a
Remote Data Scientist

Over $300 billion are lost every year in online retail due to inventory mismanagement. Flieber is a supply-chain tech startup solving this problem. Founded by experienced entrepreneurs with successful exits and funded by renowned VCs and investors such as GGV, Monashees, Cherubic, Propel, Jerry Yang (founder of Yahoo!), among others, Flieber has just raised its Series A and is ready to accelerate its growth.\n\nWhat is Data at Flieber\n\nAs a data-driven, next best action-based system, data is at the core of everything we do at Flieber and is the center of our offering to customers. From sales and inventory forecasting to supply-chain decision optimization, our platform relies on data collected from various sources at every step of the process. Our challenges include the massive amount of heterogenous data to be processed and the need to adapt to the characteristics of each individual customer.\n\nData is the heart of Flieber's ecosystem. Our platform connects to multiple sources (sales channels, fulfillment centers, warehouses, supply-chain players etc.), consolidates the data collected, and transforms it into intelligent suggestions and actionable decisions for our customers. A good strategy is crucial to foster rapid innovation and implement new capabilities in our products.\n\nThe Data team is successful when we are able to help use any kind of data coming from the various inputs and answer questions that will get our customers closer to the goal of having a highly-efficient retail operation.\n\nWhat Impact You Will Have\n\nThis is a core role at Flieber's Data Organization, working on one of the most complex challenges of a fast-growing market. The team is composed of data scientists and data engineers who partner with each other on a daily basis to bring unconventional solutions to life.\n\nAs a Data Scientist at Flieber, you’ll partner with domain experts across the company to analyze and explore different alternatives for supply-chain challenges. You will build statistical models to predict inventory demand, make suggestions for sellers to take action, and give insights about their operations.\n\nYou will own significantly complex projects that will be delivered directly to customers as part of Flieber's platform. Your work will enable retailers to make better inventory decisions reducing the impact of stock-outs and overstocks and increasing their sales. Additionally, you will contribute with a growing system setting best practices to operate at a larger scale helping Flieber to continue to grow its customer base.\n\n\n\n\nAbout Flieber\n\nWith the migration of retail from offline to online and the consequent digitization of the whole purchase experience, the only thing that remains physical is the product itself. So, it's only natural that inventory management complexities will be at the centerstage of retail moving forward.\n\nFlieber solves inventory optimization for online retailers. We use advanced technology and data analytics to improve decisions and reduce complexity in e-commerce operations. Our platform connects with sales channels and supply-chain players to synchronize sales velocity, supply-chain operations and inventory management. The result is less stock-outs (more sales), less overstocks (more efficient use of capital) and increased operational efficiency (higher margins), all with a fraction of the work. \n\nLet's start Fliebing!\n\nFor more information, visit flieber.com.\n\nFlieber is an Equal Opportunity Employer. Flieber is an E-Verify Employer. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nRemote


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Talend


closed
Columbus, Ohio
 
💰 $60k - $100k*

analyst

 

marketing

 

non tech

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
WHO WE ARE:\n\nTalend, a leader in data integration and data integrity, is changing the way the world makes decisions.\n\nTalend Data Fabric is the only platform that seamlessly combines an extensive range of data integration and governance capabilities to actively manage the health of corporate information. This unified approach is unique and essential to delivering complete, clean, and uncompromised data in real-time to all. \n\nOver 6,500 customers have chosen Talend to run their businesses on healthy data. Talend is consistently recognized as a leader in its field by Forrester and Gartner.\n \nWe pride ourselves in our values of Passion, Agility, Team Spirit, and Integrity. Every one of our 1,400 employees brings a certain je ne sais quoi that makes Talend special.\n\nTalend is hiring a Principal Marketing Data Analyst for the Enterprise Data Analytic team. \n \nThis role is responsible for B2B marketing analytic efforts, including:\n·       Understanding and assessing pipeline performance (digital/demand gen, direct/partner), \n·       Providing insights across the marketing pipeline funnel from MQL to closed revenue, and \n·       Identifying areas of opportunity to drive more pipeline for the organization and optimize marketing efforts to improve return. \n\n\nThis position would establish the data analytics strategy and promote the growth of a data culture for the Marketing department, including:\n\n·       Create best-practice reports based on analysis and visualization\n·       Work directly with management and users in the Marketing department to gather requirements, provide status updates, and build relationships\n·       Develop training programs to expand self-service within Marketing\n\n\nThis position reports to the Director of Enterprise Data Analytics.\n\n#LI-MM3 \n#LI-Remote\n\n\nAND NOW, A LITTLE ABOUT US:\n\nTalend has received some pretty impressive accolades along the way:\n\n- CEO named a 2020 Top Diverse Leader by the National Diversity Council\n- 5th consecutive year named a Leader for Data Integration Tools in the Gartner Magic Quadrant 2020\n- 3rd consecutive year named as a Leader for Data Quality Solutions in Gartner Magic Quadrant 2020\n- Recognized as a Challenger for Enterprise Integration Platform as a Service (iPaaS) in Gartner Magic Quadrant 2020\n- "2018 Best  Public Cloud Computing Companies To Work For" by Glassdoor\n- Named Leader in The Forrester Wave™: Enterprise Data Fabric\n- Ranked in the DBTA “100 Companies that Matter Most in Data”\n- Listed in the CRN Big Data 100 Companies\n \nWe are passionate about helping companies become more data driven; and, if we can be honest, we are all geeks at heart who pride ourselves on the vibrant company culture that we have built.\n \n\n\nAs a global employer, Talend believes our success depends on diversity, inclusion and mutual respect among our team members. We want to look like our customers, and we recruit, develop and retain the most hardworking people from a diverse candidate pool. We are committed to making all employment decisions on the basis of business need, merit, capability and equality of opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.\n\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Analyst, Data Science and Marketing jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Location\nColumbus, Ohio


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Tonal



New York, NY
 
💰 $65k - $120k*

exec

 

Tonal is hiring a
Remote Manager Data Science

Who We Are\n\nTonal is the smartest home gym and personal trainer. It has completely revolutionized the way people work out at home, with its sleek design and advanced A.I. technology. We’ve united a diverse team of experts and decades of research to reinvented strength training, making it more efficient, more effective, and more engaging. \n\nWith this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness. We are passionate about building products that transform lives, and building teams that transform the status quo. Together, we can be our strongest.\n\nOverview\n\nThis position can be based out of our headquarters in Toronto, San Francisco, or remotely. \n\n\nTonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, [email protected] All requests will be addressed and responded to in accordance with Tonal’s Accessibility Policy and local legislation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Data Science jobs that are similar:\n\n $65,000 — $120,000/year\n \n\n#Location\nNew York, NY


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Tessian



UK - Remote / Onsite London
 
💰 $70k - $120k*

engineer

 

exec

 

senior

 

backend

Tessian is hiring a
Remote Senior Data Scientist

Tessian\n\nTessian protects every business’s mission by securing the human layer 💫\n\nWe're building intelligent security that works for human beings as they are, not how security policies would like them to be. Using machine learning technology, Tessian automatically predicts and eliminates advanced threats on email caused by human error - like data exfiltration, accidental data loss, business email compromise and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way.\n\nTessian has raised a $74m Series C led by renowned security investors, March Capital (Crowdstrike, Knowbe4), with follow-on from Sequoia, Accel, Balderton, Latitude, Okta, Sozo, Citi & Schroder Adveq, to further our mission to secure the human layer.\n\nFounded in 2013, Tessian is backed by world-class venture capital investors, has hubs in London, San Francisco, Boston, and Austin, and London, and is one of the Top-3 2021 Best Places to Work for Women.\n\nData Science at Tessian \n\nOur mission is to secure the human layer. This involves deploying near real-time machine learning models at massive scale to some of the world’s largest organisations to keep their most sensitive data private and secure. To do this, we're looking for a senior data scientist with NLP experience ready to work on hard problems, drive best practice and cultivate an environment of experimentation and learning.\n\nCompanies can leverage data science in a number of ways, and we think the role of a Data Scientist falls into three distinct categories: \n1) You work for a business function analysing & reporting on how to improve a key metric, e.g increasing user conversion\n2) You are responsible for writing production models to enhance the main product, e.g recommendation systems for e-commerce\n3) You build the product - without machine learning, it wouldn't exist  \n\nThe Data Science team built the product at Tessian. We couldn't exist without our machine learning models; they are at the heart of what we do, and they are what our clients rely on day-to-day. We're searching for a Senior Data Scientist who is excited about the opportunities and challenges that come with researching, building and deploying real-time production models.\n\nWhy we think you'll love it here 😍.... \n\nFor summer 2021, we’re excited to announce what we call "Refreshian Summer" - where every single Tessian will be able to down tools at 1pm every Friday in July & August, and enjoy a long weekend during the sunniest months of the year!\n\nIt’s important to us that all Tessians are part of the journey we’re on, so we offer equity options with every role and benchmark to provide above market rate salaries - there’s plenty more too…. \n\nBe at your best, both inside and outside of work \n\n- 25 days of paid holiday (plus 8 bank holidays, and an additional day for every year you've worked at Tessian!) \n- Private health insurance provided through Vitality Health and mental health support through our Employee Assistance Program \n- Classpass - subsided access to gym time and classes all across London \n- Choice First: Do your best work, in the way that works best for you\n- Flexible working hours and working from home (if you're not already remote!) \n- Work-from-home subsidy upon joining, so you can kit out your home office\n- Enhanced pension contributions, matched up to 5% \n- We’re family friendly, with policies built to support you in all stages of life \n- High-quality tech kit provided for you to work on, plus Tessian ANC headphones \n- If you're relocating to join the team, we'll provide a contribution to help with your costs \n\nBeyond work \n\n- Elite membership of the Tessian House System... \n- Every other Wednesday we get together to share team updates and drinks \n- Monthly team socials & a big, whole company extravaganza every quarter \n- Never-ending ping-pong tournaments\n\nEquality & diversity ⚖️\n\nTessian is an equal opportunity employer, committed to equality and diversity amongst both our employees and prospective applicants. The Human Layer we're securing is diverse, and we know we need to be diverse and inclusive to successfully create HLS that reflects this. You can read our equality and diversity statement here.\n\nAs part of our commitment to equality and diversity, we're also a corporate member of the WISE Campaign for gender equality in STEM & we're a founding member of the WEDS network driving diversity & inclusion in startups.\n\n#humanfirst 🙋‍♀️💁‍♂️\n\nObligatory small print\n\nPlease note that we do not accept applications or résumés from recruiters. Any unsolicited CVs, profiles, or names, submitted in any format, by any channel, to any of our team, will be deemed to fall outside any terms and/or conditions with either the person submitting the information or their company of employment/representation.\n\nBy submitting your application to Tessian, you consent to Tessian retaining your information and contacting you about future job opportunities, that may be of interest, for up to 2 years in accordance with our Privacy Policy\n\nPlease note, that any job offers will be subject to the candidate passing background screening checks. \n\nWe're a #LI-Remote company offering Choice First working practices where possible. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Engineer, Executive and Senior jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nUK - Remote / Onsite London


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Respondent


 
💰 $60k - $120k*

analyst

 

Respondent is hiring a
Remote Data Analyst

Customer insights are critical to building successful products and services. However, finding and interviewing the right people to uncover those insights is a time-consuming, expensive process that often results in researcher frustration.\n\nRespondent is building a new category marketplace that connects researchers with high-quality participants. By reducing research timelines from 4-6 weeks to days and shrinking costs by 90%+, we make business-changing insights available to researchers of all types -- from in-house research teams at IBM and Microsoft to startup founders hunting for product-market fit.\n\nWe look forward to learning more about you and how you might fit into our thriving community of initiative-takers and diverse thinkers. \n\n\nWe are looking for someone who matches our level of joy for the work we do, brings something new to the team, and elevates our game. Our core values are very important to us and we hope they resonate with you, too. You can read more about them here!\n\n\nBenefits\n\nWorking at Respondent is a unique experience. You will be part of a remote, diverse team. We care deeply about creating a cohesive, tight-knit culture that gets results. That’s why we offer our employees the following:\n\n💰Competitive salary & Stock options\n🧑‍💻 A dynamic remote-first work culture with full autonomy to create and experiment!\n👩‍⚕️High-quality medical care \n💻 A full office set up, including a MacBook Pro, desk, second screen, ergonomic chair, and wireless mouse & keyboard. \n🤓 A structured remote onboarding process and continuous training with a supportive team. \n🎨 Monthly Stipends for Learning & Development, Health & Wellness, and Family/Kids/Pets\n🏖 Four weeks of flexible paid vacation per year (need a bit more for religious or country holidays--no problem!)\n🏡 12 paid holidays per year\n👶 Parental leave - 12 weeks fully paid with an additional optional 4 weeks unpaid\n🌈 Company retreats for teammates to get to know one another in person (recent locations pre-Covid include New Orleans, San Antonio, and Wickenburg)!\n\n\nRespondent is an equal opportunity employer\n\nWe understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to solve the challenges involved in Respondent's long term success. Our dynamic team members have incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace and encourage candidates from underrepresented backgrounds to apply. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Analyst, Data Science jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nRemote


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Pachama



San Francisco, California
 
💰 $70k - $130k*

exec

 

machine learning

Pachama is hiring a
Remote Product Manager GIS Machine Learning

Who we are\nPachama's mission is to restore nature to help address climate change. We bring the latest technology in remote sensing and AI to the world of forest carbon in order to enable forest conservation and restoration at scale. Our core technology harnesses satellite imaging with artificial intelligence to measure carbon captured in forests. Through the Pachama marketplace, companies and individuals can connect with carbon credits from projects that are protecting and restoring forests worldwide. We are backed by mission-aligned investors including Breakthrough Energy Ventures, Amazon Climate Fund, Chris Sacca, Saltwater Ventures, and Paul Graham.\n\nOur Values\nPurpose: We are a mission-focused company, working on the biggest problem of our generation\nIntegrity: Honesty, transparency, and commitment to the team\nExcellence: Everything you do should be delivered with precision and clarity\nTenacity: Stick with the mission, the company, and the team, through thick and thin\n\nWhat we're looking for\nWe're looking to bring on a product manager to work partner with our Verify team to develop and deliver on a product roadmap that aligns with Pachama's mission. You will work closely with the product and engineering teams, as well as with business and operations staff, designers, customers, and a range of other stakeholders, to deliver high-quality and scalable products. You'll be responsible for aggregating the requirements across this diverse group, developing a shared vision for the team, implementing a clear roadmap, and ultimately ensuring delivery against those goals.\n\nWhat Verify does\nThe primary job of Verify is to use satellite imagery, LIDAR, and other data sources to monitor the carbon sequestration of forests in an efficient, automated, and accurate way. Verify covers everything from data ingestion and graphics to model training and inference. Each is necessary to produce high-accuracy project evaluations and ongoing monitoring insights. The team is comprised of sustainability experts, forest scientists, machine learning experts, data engineers, and software engineers. The systems built by the Verify team underpin the core technology of the company, creating the heartbeat by which our business operates. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Executive and Machine Learning jobs that are similar:\n\n $70,000 — $130,000/year\n \n\n#Location\nSan Francisco, California


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Everbridge


closed
🇺🇸 US
 
💰 $60k - $140k*
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
The successful candidate will provide the technical leadership for the machine learning project within the creation of Everbridge’s Risk Data Ingest (Hermes) platform. The role will require collaboration with architects, domain experts, engineering management, product management, and engineers. This position requires 10+ years professional experience in a data science role with good working knowledge in machine learning, natural language processing, using Python programming. The candidate must have the ability to drive machine learning projects and produce results while working with a remote team, using Zoom, Slack, email, and other collaboration tools. \n\nBridger Culture: \n\nAt Everbridge, we have a mission that matters – to keep people safe and businesses running during critical events. Our “Bridgers” join Everbridge to make a positive impact on the world through their work. The core of our company culture is built around making a difference. Our people are dedicated to solving problems during difficult times and challenging situations as our software was built to save lives.\n \nWe are a rapidly growing organization transforming the field of critical event management and need passionate, committed and determined individuals to help us carry out our mission. Our environment is dynamic, and our culture is constantly evolving and expanding in order to provide the best employee experience.\n \nClick here to learn more about what we do. Passionate about our mission? Want to #BeTheBridge? Apply to be a part of our team today!\n \nEverbridge is an Equal Opportunity/Affirmative Action Employer. All qualified Applicants will receive consideration for employment without regard to race, creed, color, religion, or sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\n🇺🇸 US


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# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Aquicore


closed 
💰 $60k - $140k*
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Who we are\n\nAquicore was founded in 2013 in the early hours of the morning on the belief that smarter and more connected buildings will have a global impact in curbing our climate challenges and make buildings technologically ready for the next century. \nWe create global impact by bettering the built environment every day.\nOur next generation of software facilitates smarter building operations used by the largest real estate owners and operators around the world. We are changing the industry from the ground up and we’re looking for the right people to achieve our mission!We’re amped by the work we do and driven to constantly propel our values and culture. While awards aren’t the goal, we are humbled to be recognized as one of the coolest places to work by organizations such as DC Inno. Our people come first and it’s the combination of our culture and our mission that has been our greatest differentiator. We take our core values as a company seriously and aspire to level-up our Aquicorians in their careers and professional growth.  \n\n Our Challenge\n\nWe are seeking a Data Scientist who will continually find ways to make Aquicore innovative. This individual will generate creative solutions to the hardest problems in CRE sustainability while making product improvements in a scalable way. \n\nThe Impact you’ll have\n\n You will work with cutting-edge technology to improve the commercial real estate industry to be more efficient, intelligent, and sustainable by bringing in smart machine learning products. You will generate meaningful insights for customers to run their buildings more efficiently and keep them excited about Aquicore. You will automate processes to multiply value to customers and develop tools to assure high data quality which is the backbone of Aquicore. You will help the team make intelligent decisions with data-driven insights.\n\nWho you will work with\n\nData scientists collaborate with industry experts from many disciplines: software engineers, data engineers, and product managers. You will also work closely with domain experts across the company such as building systems engineers or customer service specialists to understand the core problems and customer needs. You will be expected to report and present to senior leadership on team initiatives.\n\nIs this role not a perfect fit?\nSign up to stay in touch. We have new positions regularly and we’d love to reach out to you first when it opens up!\n\nWe are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. Aquicore is an EEOC.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nRemote


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Imperfect Foods


 
💰 $60k - $100k*

engineer

 

backend

 

analyst

 

Imperfect Foods is hiring a
Remote Data Analyst

About Imperfect\n\nImperfect Foods was founded in 2015 with a mission to reduce food waste and build a better food system for everyone. We offer imperfect (yet delicious) produce, affordable pantry items, and quality meat and dairy. We deliver them conveniently to our customers’ doorsteps and pride ourselves on offering up to a 30% discount compared to grocery store prices. Our customers can get the healthy, seasonal produce they want alongside the grocery staples they rely on, without having to compromise their budget or values. We’re proving that doing the right thing for the planet doesn’t have to cost more, and that shopping for quality ingredients can support the people and resources that it takes to grow our favorite foods. \n\nWe're headquartered in San Francisco with operations all over the country. Check our website to see if there is an Imperfect near you!\n\nWe're looking for folks who are positive, motivated, and ready to change the world. If that sounds like you, drop us a line!\n\nAbout The Role\n\nImperfect is looking for an experienced Data Analyst to join the Data team. You will deliver analyses and provide insights that impact the entire company. This role requires a strong level of analytical horsepower and communication skills to effectively analyze and tell the story behind the data. We’re excited to have you uncover opportunities to deliver an ideal customer experience and effectively reach customers to continue to fight food waste within our food system.\n\nIndividuals seeking employment at Imperfect Foods are considered without regard to race, color, religion, national origin, age, gender, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.\n\nU.S. E-Verify Notice: Imperfect Foods participates in E-Verify in the United States. Imperfect will provide the U.S. Social Security Administration (SSA) and, if necessary, the U.S. Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization.\n\nHow we are protecting employees from COVID-19\n\nAt Imperfect Foods, employee health and safety is our top priority. We have implemented processes and precautions to prevent the spread of COVID-19 in our facilities. We provide gloves, masks, and hand sanitizer to all essential employees who must report to work. Before entering our warehouse, employees have their temperatures checked. In addition, we take great care to ensure frequently touched surfaces are sanitized throughout the day and all warehouses are fully sanitized weekly.\n\nWe have also implemented an Emergency Sick Leave policy providing full-time and part-time employees 2 additional weeks of paid time off and up to 26 weeks paid leave if they have a confirmed case of COVID-19. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Engineer, Backend and Analyst jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Location\nRemote


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Oakam



Kenya
 
💰 $60k - $140k*

Oakam is hiring a
Remote Data Scientist

**PLEASE NOTE THIS ROLE IS REMOTE BASED**\n\nAbout Kamoa \nWe are building the global credit score! Without a central, universal way for consumers to demonstrate their true financial behaviour, an exploding segment of the population is being overlooked and passed over for credit solutions. At Kamoa, we are making the invisible visible, combining everyday mobile data with rapidly evolving machine learning, psychometrics and a range of other widespread data sources to reveal consumers' true financial profiles that don't rely solely on bank history or credit bureaus. Our proven technology platform and marketplace then pairs users with the right loan for them with a better, fairer and more accurate score that everyone can trust.\n \nHave a look at our website here to find out more about Kamoa: https://www.kamoa.io/\n \n \nThe Role \n \nDo you have a keen, analytical mind? Do you enjoy interpreting data and using it to draw conclusions? Are you curious about credit and its role in inclusive finance? \n \nIf you can say “yes” to the above, then keep reading: we’re on the lookout for a Data Scientist who can help solve cross-company analytical problems and propose impactful product and policy changes.  \n \nYou will be responsible for all things data, focusing on credit risk, fraud, and optimising customer outcomes. You’ll monitor the portfolio, create risk models, and propose new product and pricing strategies to ensure that the business stays at the top of its game.  \n \nWhilst the ins-and-outs of every day will vary, you can expect to: \n·       design, build and maintain our customer analysis, risk and profitability models (these are used to underwrite loans, combat fraud, set product pricing, segment customers, and predict portfolio performance); \n·       analyse the performance of our statistical models and their associated business rules and propose how they should be set to achieve our risk-reward outcomes and profitability targets; \n·       propose data-driven product changes to improve customer experience and company profitability, partnering with the Product and Engineering teams to implement your solutions in production; \n·       monitor the portfolio to identify trends and share performance updates and analysis; and \n·       conduct ad hoc analysis to identify changes in portfolio performance, propose solutions, and evaluate their expected impact. \n \nWhat will you bring to the role? \n \n·       strong Python skills and a good working knowledge of SQL; \n·       2+ years’ experience in statistical or quantitative modelling; \n·       confidence to extract insights from real-world datasets and to share your findings with management and investors; and \n·       genuine interest in consumer finance, customer psychology and the challenges of lending responsibly in the UK and in emerging markets. \n \nSound good? Apply now by emailing [email protected]!\n\nAbout Kamoa \nWe are building the global credit score! Without a central, universal way for consumers to demonstrate their true financial behaviour, an exploding segment of the population is being overlooked and passed over for credit solutions. At Kamoa, we are making the invisible visible, combining everyday mobile data with rapidly evolving machine learning, psychometrics and a range of other widespread data sources to reveal consumers' true financial profiles that don't rely solely on bank history or credit bureaus. Our proven technology platform and marketplace then pairs users with the right loan for them with a better, fairer and more accurate score that everyone can trust.\n \nHave a look at our website here to find out more about Kamoa: https://www.kamoa.io/\n \nThe Role \n \nDo you have a keen, analytical mind? Do you enjoy interpreting data and using it to draw conclusions? Are you curious about credit and its role in inclusive finance? \n \nIf you can say “yes” to the above, then keep reading: we’re on the lookout for a Data Scientist who can help solve cross-company analytical problems and propose impactful product and policy changes.  \n \nYou will be responsible for all things data, focusing on credit risk, fraud, and optimising customer outcomes. You’ll monitor the portfolio, create risk models, and propose new product and pricing strategies to ensure that the business stays at the top of its game.  \n \nWhilst the ins-and-outs of every day will vary, you can expect to: \n·       design, build and maintain our customer analysis, risk and profitability models (these are used to underwrite loans, combat fraud, set product pricing, segment customers, and predict portfolio performance); \n·       analyse the performance of our statistical models and their associated business rules and propose how they should be set to achieve our risk-reward outcomes and profitability targets; \n·       propose data-driven product changes to improve customer experience and company profitability, partnering with the Product and Engineering teams to implement your solutions in production; \n·       monitor the portfolio to identify trends and share performance updates and analysis; and \n·       conduct ad hoc analysis to identify changes in portfolio performance, propose solutions, and evaluate their expected impact. \n \nWhat will you bring to the role? \n \n·       strong Python skills and a good working knowledge of SQL; \n·       2+ years’ experience in statistical or quantitative modelling; \n·       confidence to extract insights from real-world datasets and to share your findings with management and investors; and \n·       genuine interest in consumer finance, customer psychology and the challenges of lending responsibly in the UK and in emerging markets. \n \nSound good? Apply now by emailing [email protected]!\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n \n\n#Location\nKenya


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Relativity



Warsaw
 
💰 $60k - $120k*

analyst

 

senior

Relativity is hiring a
Remote Senior Data Analyst 21 0656

We are Relativity. A market-leading, global tech company that equips legal and compliance professionals with a powerful platform to organize data, discover the truth, and act on it.  The US Department of Justice, 199 of the Am Law 200, and more than 329,000 enabled users trust Relativity during litigation, internal investigations, and compliance projects.\n \nOur SaaS product, RelativityOne, has become the fastest-growing product in the company's history and we have consistently been named a great workplace. As we grow, we continue to seek individuals that will bring their whole, authentic self to our team. \n \nWe believe that great talent is not bound by geography and that what you do matters more than where you do it. Relativity has assumed a hybrid work strategy, allowing choice and flexibility for employees to work either from home, a physical Relativity office location (once safe to do so), or a combination of the two, within certain logistical boundaries. Submit your application to learn more from our recruiters or contact us for more details.\n\nThe Strategy and Business Operations team (under the Chief Growth Officer) is a critical part of Relativity’s success.  We set the strategic growth direction for the company by deeply understanding our data, identifying market opportunities and operational improvements. We are a thought partner with leadership and collaborate to answer the tough questions. In addition, we empower our team members to learn cross-functionally to provide a foundation for future leadership roles in the company.\n\nWe’re looking for a Senior Data Analyst with 1.5 year+ of experience in a top tier consultancy or other high-paced environment to join our global Strategy and Business Operations team and help envision our long-term growth plans\n\n#LI-Remote \n\n\nAt Relativity, we live our core values and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service, and we’re always looking for people to join us on the journey.  \n \nRelativity is a team of smart, passionate people always looking to grow, contribute, and make our product and customer service the best it can be. Our team members come from diverse backgrounds with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they’re empowered to be their full, authentic selves, regardless how you identify. \n \nSo, please come as you are. We can’t wait to meet you. \n\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Analyst, Data Science and Senior jobs that are similar:\n\n $60,000 — $120,000/year\n \n\n#Location\nWarsaw


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MomentRanks


closed
San Francisco
 
💰 $65k - $130k*

senior

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
About us:\n\nFormed in 2021, MomentRanks is the premier resource for tracking and engaging with the NFT ecosystem. We've seen over hundreds of thousands of users and millions of pageviews since launching in February, and we are growing incredibly quickly. We're looking for people who are obsessed with building on the future of blockchains.\n\nAbout the position:\nWe have data from the blockchain -- a lot of it. We'll provide the data, and you'll generate interpretable for our users. You'll be put in a place to succeed as a leader and as a scientist, generating integral data for a product that will be seen by millions of users. \n\nIdeally, you have experience with:\n- programming (e.g. Python)\n- databases and massive data sets (e.g. MongoDB)\n- advanced statistical modeling techniques\n- time-series data analysis\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Senior jobs that are similar:\n\n $65,000 — $130,000/year\n \n\n#Location\nSan Francisco


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Relay Financial



Toronto, ON |
 
💰 $70k - $100k*

exec

 

full stack

 

engineer

 

analyst

Relay Financial is hiring a
Remote Data Analyst

A bit about us:\nHere at Relay, our mission is to increase the success rate of small businesses. Traditional banking has been a growth limiter rather than a growth enabler for business owners, and we’re changing that. With Relay, business owners can open a bank account in minutes, issue corporate cards in seconds and automate their bookkeeping – giving them better cashflow visibility. \n\nJoining Relay, means an opportunity to make a huge impact building solutions with the potential to reach 29 million small businesses across North America. If you thrive on growth and playing to win, we want to hear from you!\n\nThe opportunity:\nWith the announcement of our latest funding round, Relay is entering an exciting new chapter. We’re looking for a Data Analyst to help us scale our analytics engine. This is a unique opportunity to build learnings, improve reporting and inform how we scale Relay.\n\nWhat’s important to us:\nAt Relay, we believe that diversity is key to building high-performing teams, and creating an inclusive work environment is our priority. We are an equal opportunity employer and we welcome people of diverse backgrounds, perspectives, and skills. We will work with applicants to provide accommodations at any stage of the hiring process. \n\nWe look forward to hearing from you! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Full Stack and Engineer jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nToronto, ON |


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GoodRx


closed
Santa Monica, CA / San Francisco, CA
 
💰 $70k - $100k*

exec

 

full stack

 

engineer

 

analyst

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
At GoodRx, we believe that all Americans should have access to convenient and affordable healthcare. As a nation, we spend about $3.5 trillion annually on our healthcare, but too many Americans struggle to get the care they need, and prices just keep rising. Our marketplaces for prescription medicines and telehealth have helped Americans save $30 billion since 2011. GoodRx is a public company; we're based in Santa Monica with additional offices around the country. We're a low-key and tight-knit group that likes to find new ways to fix big problems. If you share our belief that you can do well by doing good, let's talk.\n\nWe’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunities to excel.\n\nWith that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, and those in the LGBTQ+ communities to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch – we’d love to connect and see if you could be good for the role!\n\nAt GoodRx, we believe that all Americans should have access to convenient and affordable healthcare. As a nation, we spend about $3.5 trillion annually on our healthcare, but too many Americans struggle to get the care they need, and prices just keep rising. Our marketplaces for prescription medicines and telehealth have helped Americans save $20 billion since 2011. GoodRx is a profitable business funded by top-tier investors; we're based in Santa Monica with additional offices around the country. We're a low-key and tight-knit group that likes to find new ways to fix big problems. If you share our belief that you can do well by doing good, let's talk.\n\nAbout this role\n\nGoodRx is seeking a senior SEO manager to help drive our continued organic growth. The ideal candidate has a firm grasp on SEO best practices and has demonstrable experience planning, executing, and measuring organic growth strategies.\nYou’ll be a part of a growing cross-functional team, working alongside other SEOs as well as world-class product managers, designers, engineers, content writers, data folks, and subject matter experts who are dedicated to solving meaningful health problems for millions of people each month. You’ll closely collaborate with others throughout the organization to identify growth opportunities, propose new SEO initiatives, and maximize the organic visibility of our growing business.\n\nGoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $30 billion using GoodRx and 20 million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Full Stack and Engineer jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nSanta Monica, CA / San Francisco, CA


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BrightHire


 
💰 $60k - $110k*

dev

 

engineer

 

backend

 

cloud

BrightHire is hiring a
Remote Head of Data Science

Our mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human. We’re doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. Our innovative approach has been covered in Inc. Magazine and Quartz, we’re backed by the investors behind Figma, Dropbox and Slack, and advised by thought-leaders including renowned organizational psychologist and NYT bestselling author Adam Grant.\n\nWhat will you do?\nAs the founding member of the data science team, reporting to the Head of Engineering, you will:\n• You will build algorithms on top of our unique interview data asset to measure quality, consistency, and fairness, and to identify and highlight important moments of conversation\n• Drive continuous improvement in the speed and quality of our transcripts to further our product and analytics\n• Support the BrightHire data platform. You will help define, architect, and buy or build features and products to improve the data platform.\n\nWho are you?\n• You have 5+ years of professional experience working in data science roles\n• You have experience uncovering key insights from large swaths of data\n• You have experience investigating and delivering user-facing ML features.\n• Experience with developing NLP features is a plus.\n• Experience with Full Stack Engineering is a plus.\n• Experience with building significant pieces of an organization's data platform and strategy is a plus.\n• You are resourceful and are happy wearing many hats.\n• You have worked in a startup-like environment with limited resources and established processes.\n• You empathize with the customer.\n• You have a strong opinion on what should be built and how it solves the customer’s problem.\n• You can communicate complex engineering ideas to a non-technical audience.\n• You value collaboration and gathering feedback from team members across the organization comes naturally to you.\n\nMore about us:\n• We’re very collaborative, we’re always brainstorming ideas about product, strategy, etc.\n• We use our product daily in our own hiring, which is rewarding and gives us product empathy!\n• We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.\n• Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a company\n• We’re generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travel...\n\nBenefits:\n• Meaningful equity\n• Fully paid health, dental and vision coverage\n• Generous budget for your ideal work environment\n• Unlimited PTO, with a minimum # of days everyone must take :)\n• Annual learning stipend for courses, conferences, etc.\n• Monthly snack pantry delivered to your door\n\nOur goal is to ensure that BrightHire upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status, and we'd love to learn about what you can add to our team.\n\n*Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website. We will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered our property. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n


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Nova Credit


closed 
💰 $70k - $120k*

exec

 

senior

 

engineer

 

backend

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
At Nova Credit, we’re on a mission to make financial access easier, no matter where you’re from or where you go. We’ve built a platform that enables lenders to access a single, predictive cross-border credit database to help underwrite immigrants and other global citizens.  In effect, we are the first global infrastructure for financial identity to seamlessly move around the world. We’re passionate about financial inclusion, and committed to building a diverse and fulfilling work culture.\n\nOur newly formed Data Platform Engineering team is looking for a Data Platform Engineer to improve access, processing capability, and understanding of our complex data sources across the organization to level-up our business. Serving internal cross-functional stakeholders is an integral component of this role. \n\nFor a more in-depth look of our engineering culture, check out our page on Key Values.\n\nEveryone is welcome at Nova Credit. We are an equal opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


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Nova Credit


closed 
💰 $70k - $120k*

exec

 

senior

 

engineer

 

backend

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
At Nova Credit, we’re on a mission to make financial access easier, no matter where you’re from or where you go. We’ve built a platform that enables lenders to access a single, predictive cross-border credit database to help underwrite immigrants and other global citizens.  In effect, we are the first global infrastructure for financial identity to seamlessly move around the world. We’re passionate about financial inclusion, and committed to building a diverse and fulfilling work culture.\n\nIn International Data & Analytics, you will play an essential role in researching, designing and building Nova Credit’s global data and analysis strategy. You will report to Nova Credit’s Head of Risk and Analytics. You will serve as a conduit to bring key functions together, including data partnerships, risk & analytics, product & engineering, and customer success to develop and implement Nova Credit’s core data systems. You will work with customer-facing teams to analytically demonstrate the strength of Nova Credit’s products and services.  Ultimately, your role is to ensure that Nova Credit’s products deliver high quality predictive risk signals. Every initiative you work on will be critical for the company’s success.\n\nEveryone is welcome at Nova Credit. We are an equal opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


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Thistle


closed 
💰 $60k - $110k*

dev

 

senior

 

backend

 

full stack

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Who we are \n\nFounded in 2013, Thistle is an early-stage food-tech startup empowering our customers to get and stay healthy while improving our food system’s sustainability. We deliver delicious, organic, healthy, plant-forward meals, cold-pressed juices, and snacks to customers on the West Coast at the elusive intersection of convenience, health, and sustainability.\n\nWe don’t want to be just another food delivery startup. Our focus is on our customers’ health and happiness, and we are revolutionizing how fresh, nutritious, high-quality food is purchased, manufactured, and delivered at scale. Thistle is headquartered in San Francisco, and we are backed by some amazing investors in the Bay Area and beyond. We're headquartered in San Francisco, but we are excited to be building out a remote Data team. Candidates should be located within California, Oregon, Washington, Nevada, Arizona, Tennessee, or Maine.\n\nAbout the Role\n\nThistle is looking for a passionate Senior Data Scientist to drive decision-making through data. This position will have the opportunity to collaborate with a multi-disciplinary team on a wide array of problems, bringing scientific rigor and statistical methods to the challenges of product development, customer acquisition, operations forecasting, and more.\n\nWe understand that everyone is going to have strengths and weaknesses with regard to different aspects of this role. We encourage you to apply even if you feel some of the expectations would be challenging to meet!\n\n\nDiversity, equity, and inclusion are essential values at Thistle. We know we'll do our best and most impactful work when we feel we're represented and we belong. We're proud to actively recruit and hire talented people from a wide variety of backgrounds and experiences. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  You can get some deeper insight into how we approach DEI, along with some statistics on the internal demographics of the company and leadership team, here: https://www.thistle.co/learn/thistle-thoughts/thistle-on-diversity-equity-and-inclusion. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Senior and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n


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Divvy Homes


 
💰 $70k - $120k*

infosec

 

engineer

 

devops

 

exec

Divvy Homes is hiring a
Remote Senior Full Stack Engineer

Why Divvy?\n\nOver the past decade, millions of Americans have been forced to put their dreams of homeownership on hold. Home prices have outpaced wage growth while mortgage requirements continue to tighten. As a result, renters are missing out on a critical wealth-building opportunity: owning a home.\n\nAt Divvy, we're building an on-ramp to homeownership – one that's more affordable, more flexible, and an overall better fit for the modern American family – and it’s working.\n\nAbout the role\nYou will be able to leverage your creativity and skill set to make homeownership more accessible and equitable. The engineering team builds tools to support our consumer, agent and administrative products. At Divvy, you’ll own some of your projects from start to finish, support your teammates on other projects, and work collectively to scale our platform to thousands of new applicants and multiple new markets. Almost every project will require cross functional collaboration across the entire home buying process. You will work alongside a team of 8 engineers, 2 product managers, 2 data scientists, and about 40 other Divvy employees working on different parts of the business.  \n\nEngineering Opportunities\nBuying thousands of homes a year requires effective and intelligent software. There are several different complex workflows that our software must support and each one presents us with its own unique set of nuances and challenges. Depending on your interests and career objectives, you will work towards solving challenges across three broad domains:\n\n1. Consumer experience - We want to make finding and buying your next home easier than renting. This involves building an intuitive application experience, nurturing the relationship between applicants and agents, recommending homes, and hand-holding the customer through the process.\n\n2. Data Intelligence - Given that we are a financial product, we need to ensure that we are selecting the right candidates into our program (those with a high likelihood of becoming homeowners), and pricing our offering as fairly and accurately as possible. You would work alongside our data-science team to productize models and leverage our datasets to reduce risk and build a more effective product.\n\n3. Scale - Our goal is to buy thousands of homes in the coming years. Buying a home involves considerable complexity, and we want to remove as much human touch from this as possible. We are building systems to automatically underwrite customers, generate competitive offers, thoroughly and thoughtfully inspect homes, support and service our tenants, and much more.\n\nCommitment to Diversity & Inclusion\n\nWe prioritize a commitment to diversity in our team building process. We enthusiastically encourage individuals from a variety of lived experiences to reach out. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to InfoSec, Engineer and DevOps jobs that are similar:\n\n $70,000 — $120,000/year\n


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Divvy Homes


 
💰 $70k - $120k*

infosec

 

engineer

 

devops

 

exec

Divvy Homes is hiring a
Remote Senior Data Scientist

Why Divvy?\n\nOver the past decade, millions of Americans have been forced to put their dreams of homeownership on hold. Home prices have outpaced wage growth while mortgage requirements continue to tighten. As a result, renters are missing out on a critical wealth-building opportunity: owning a home.\n\nAt Divvy, we're building an on-ramp to homeownership – one that's more affordable, more flexible, and an overall better fit for the modern American family – and it’s working.\n\nWe’re looking for a Data Scientist to join our growing company. In this role, you’ll ensure the financial viability of our business by developing our underwriting and/or pricing models. Developing this model will also mean simulating new financial product offerings which match customer needs to Divvy’s capacities.  Day to day, this will include a mix of dataset acquisition, statistical modeling, exploratory data analysis, and software engineering. You’ll report directly to Divvy’s CTO and work alongside a team of 8-10 software engineers and data scientists.\n\nCommitment to Diversity & Inclusion\n\nWe prioritize a commitment to diversity in our team building process. We enthusiastically encourage individuals from a variety of lived experiences to reach out. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to InfoSec, Engineer and DevOps jobs that are similar:\n\n $70,000 — $120,000/year\n


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Optiv


 
💰 $65k - $120k*

consulting

 

senior

Optiv is hiring a
Remote Senior Consultant Data Scientist CDX I USA Canada

At Optiv, we’re on a mission to help our clients make their businesses more secure. We’re one of the fastest growing companies in a truly essential industry.\n\nIn your role at Optiv, you’ll be inspired by a team of the brightest business and technical minds in cybersecurity. We are passionate champions for our clients, and know from experience that the best solutions for our clients’ needs come from working hard together. As part of our team, your voice matters, and you will do important work that has impact, on people, businesses and nations. Our industry and our company move fast, and you can be sure that you will always have room to learn and grow. We’re proud of our team and the important work we do to build confidence for a more connected world.\n\nWho are we looking for:\nAs Data Scientist at Optiv you will make a difference for our clients by designing, evaluating, and deploying into production analytics solutions. You will work daily on applying your technical skills, analytical mindset, and business intuition on our clients’ largest data challenges. You may develop innovative new business analytics, train advanced machine learning models, or coach management on steps to strengthen their own data science capabilities. Your technical skills will help our clients to be successful through collaboration and experimentation. You will join a team of highly skilled and experienced big data professionals who work with the latest tools, technologies, and approaches. \n\nIf you are seeking a culture that supports growth, fosters success and moves the industry forward, find your place at Optiv! As a market-leading provider of cyber security solutions, Optiv has the most comprehensive ecosystem of security products and partners to deliver unparalleled services. Our rich and successful history with our clients is based on trust, serving more than 12,000 clients of varying sizes and industries, including commercial, government and education. We have the proven expertise to plan, build, and run successful security programs across Risk Management, Cyber Digital Transformation, Threat Management, Security Operations - Managed Services and Identity and Data Management.\n\nWith Optiv you can expect:\n\n• A company committed to championing Diversity, Equality and Inclusion through Affinity groups including but not limited to, Women's Network, Optiv Pride, Black Employee Network, and Veterans Support Network.\n• Work/life balance. We offer “Recharge” a flexible, time-off program that encourages eligible employees to take the time they need to recharge \n• Professional training resources, including tuition reimbursement\n• Creative problem-solving and the ability to tackle unique, complex projects\n• Volunteer Opportunities. “Optiv Chips In” encourages employees to volunteer and engage with their teams and communities. \n• The ability and technology necessary to productively work remote/from home (where applicable)\n\nOptiv is an equal opportunity employer. All qualified applicants for employment will be considered without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, status as an individual with a disability, veteran status, or any other basis protected by federal, state, or local law. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Consulting, Data Science and Senior jobs that are similar:\n\n $65,000 — $120,000/year\n


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Tessian


closed 
💰 $70k - $100k*

exec

 

engineer

 

backend

 

senior

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Tessian\n\nTessian protects every business’s mission by securing the human layer 💫\n\nWe're building intelligent security that works for human beings as they are, not how security policies would like them to be. Using machine learning technology, Tessian automatically predicts and eliminates advanced threats on email caused by human error - like data exfiltration, accidental data loss, business email compromise and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way.\n\nTessian has raised a $65m Series C led by renowned security investors, March Capital (Crowdstrike, Knowbe4), with follow-on from Sequoia, Accel, Balderton, Latitude & Schroder Adveq, to further our mission to secure the human layer.\n\nFounded in 2013, Tessian is backed by world-class venture capital investors, has hubs in London, San Francisco, Boston, and Austin, and London, and is one of the Top-3 2021 Best Places to Work for Women.\n\nData Science at Tessian \n\nOur mission is to secure the human layer. This involves deploying near real-time machine learning models at massive scale to some of the world’s largest organisations to keep their most sensitive data private and secure. To do this, we're looking for a data scientist ready to work on hard problems, drive best practice and cultivate an environment of experimentation and learning.\n\nCompanies can leverage data science in a number of ways, and we think the role of a Data Scientist falls into three distinct categories: \n\n1) You work for a business function analysing & reporting on how to improve a key metric, e.g increasing user conversion\n2) You are responsible for writing production models to enhance the main product, e.g recommendation systems for e-commerce\n3) You build the product - without machine learning, it wouldn't exist  \n\nThe Data Science team built the product at Tessian. We couldn't exist without our machine learning models; they are at the heart of what we do, and they are what our clients rely on day-to-day. We're searching for a Senior Data Scientist who is excited about the opportunities and challenges that come with researching, building and deploying real-time production models.\n\nWhy we think you'll love it here 😍.... \n\nFor summer 2021, we’re excited to announce what we call "Refreshian Summer" - where every single Tessian will be able to down tools at 1pm every Friday in July & August, and enjoy a long weekend during the sunniest months of the year!\n\nIt’s important to us that all Tessians are part of the journey we’re on, so we offer equity options with every role and benchmark to provide above market rate salaries - there’s plenty more too…. \n\nBe at your best, both inside and outside of work \n\n- 25 days of paid holiday (plus 8 bank holidays, and an additional day for every year you've worked at Tessian!) \n- Private health insurance provided through Vitality Health and mental health support through our Employee Assistance Program \n- Classpass - subsided access to gym time and classes all across London \n- Choice First: Do your best work, in the way that works best for you\n- Flexible working hours and working from home (if you're not already remote!) \n- Work-from-home subsidy upon joining, so you can kit out your home office\n- Enhanced pension contributions, matched up to 5% \n- We’re family friendly, with policies built to support you in all stages of life \n- High-quality tech kit provided for you to work on, plus Tessian ANC headphones \n- If you're relocating to join the team, we'll provide a contribution to help with your costs \n\nBeyond work \n\n- Elite membership of the Tessian House System... \n- Every other Wednesday we get together to share team updates and drinks \n- Monthly team socials & a big, whole company extravaganza every quarter \n- Never-ending ping-pong tournaments\n\nEquality & diversity ⚖️\n\nTessian is an equal opportunity employer, committed to equality and diversity amongst both our employees and prospective applicants. The Human Layer we're securing is diverse, and we know we need to be diverse and inclusive to successfully create HLS that reflects this. You can read our equality and diversity statement here.\n\nAs part of our commitment to equality and diversity, we're also a corporate member of the WISE Campaign for gender equality in STEM & we're a founding member of the WEDS network driving diversity & inclusion in startups.\n\n#humanfirst 🙋‍♀️💁‍♂️\n\nObligatory small print\n\nPlease note that we do not accept applications or résumés from recruiters. Any unsolicited CVs, profiles, or names, submitted in any format, by any channel, to any of our team, will be deemed to fall outside any terms and/or conditions with either the person submitting the information or their company of employment/representation.\n\nBy submitting your application to Tessian, you consent to Tessian retaining your information and contacting you about future job opportunities, that may be of interest, for up to 2 years in accordance with our Privacy Policy\n\nPlease note, that any job offers will be subject to the candidate passing background screening checks. \n\nWe're a #LI-Remote company offering Choice First working practices where possible. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Engineer and Backend jobs that are similar:\n\n $70,000 — $100,000/year\n


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Gopuff


closed 
💰 $60k - $140k*
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Gopuff is at a pivotal point of growth, evolving rapidly to meet the needs of new customers in new locations and deliver on exciting brand partnership opportunities. 2021 also marks an important moment: the creation and rollout of an awesome new brand identity. The Creative Studio sits strategically, creatively and executionally at the center of this, connected to every part of the Gopuff organization in order to bring the brand’s vision and identity to life through every visual and verbal brand touchpoint.\nThe Creative Studio is looking for a Designer for its brand design team who will be responsible for creating, executing and developing best-in-class design work, according to the newly-established identity system. This role will be a member of the brand design team with a focus on projects for the Growth and Product departments. We’re looking for someone who is a high-end maker, who can both concept and execute beautifully-crafted brand design.\n\nThe only predictable thing about life is that it’s wildly unpredictable. That’s where we come in. \n \nWhen life does what it does best, customers turn to Gopuff to deliver their everyday essentials, and to get through their day & night, work day and weekend. \n \nWe’re assembling a team of thinkers, dreamers & risk-takers...the kind of people who know the value of peace of mind in an unpredictable world. (And people who love snacks.)\n \nLike what you’re hearing? Welcome to Gopuff.\n\nThe Gopuff Fam is committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We are an equal employment opportunity employer. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n


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Quantum Metric


closed 
💰 $60k - $140k*
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Quantum Metric\nQuantum Metric is paving the way for Continuous Product Design, which is a cross-team approach to building better digital products faster. The result: Teams agree on priorities, build products customers love, and innovate with speed and confidence.  \n\nOur Culture\nOur number one goal at QM is happy people, happy culture. In addition, we are obsessed with helping businesses deliver better digital products and experiences. We encourage creative problem solving, rapid innovation and bold goal-setting. Our relatively flat organization structure keeps everyone informed and enables people to get involved in solving the problems they care about most. We are a close-knit team moving fast to deliver value to our customers and continue pushing the envelope as we develop new products.\n\nAbout the Role\nAs our Data Scientist, you will play a pivotal role in the transformation of data into innovative predictive machine learning and AI models around online customer behavior. In this role you will be an integral part of developing first in class products intended to spearhead the analytics industry and provide unique value to Quantum Metric’s customers. \n \nYour primary focus will be (a) designing, building, testing, integrating, managing, and optimizing data from a variety of sources (b) build free-flowing data pipelines by combining a variety of big data technologies that enable real-time analytics by writing complex queries to ensure that data is easily accessible (c) developing predictive models from transformed data to the production environment, and (d) developing automated processes to measure online user behavior. As a part of your day to day you will collaborate across all areas of the organization. In particular, you will liaise with our Platform Services group, understanding our existing infrastructure and seeking to optimize where practical.\n\n\n\n\n\nAbout Quantum Metric\nOur mission is to help brands deliver standout digital experiences for their customers. Enterprises are using Quantum Metric to build customer-centric digital products that drive revenue and foster brand loyalty. In 2020, Quantum Metric was ranked 124 in the Inc 5000, a list of America's fastest-growing private companies.\n\nSince our founding in 2015, we’ve been serving Fortune 500 customers across e-commerce, travel and hospitality, financial services and insurance, and telecommunications. The typical Quantum Metric customer achieves a full investment payback within three months of beginning to use our real-time digital intelligence platform and, on average, a 376% ROI over three years.\n\nIn January of 2021, Quantum Metric secured its place as the first tech unicorn of the year with an above $1 billion valuation and a $200 million Series B funding round, and we are using those funds to accelerate our product and people growth. If your background matches the above role and you’re interested in joining a team of people with exceptional potential from diverse backgrounds, perspectives, and life experiences, we want to hear from you.\n \nThe job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Quantum Metric reserves the right to change, edit, and add duties and responsibilities of all job descriptions at any time, at its sole discretion, and to notify the respective employee accordingly.  \n\nQuantum Metric is an E-Verify employer.\n\n#LI-REMOTE\n#BI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n


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WorkFusion


closed
🌏 Worldwide
 
💰 $70k - $120k*

exec

 

devops

 

devops

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
About us\nAt WorkFusion, we build software that is changing the world and transforming workplaces. Our technology automates repetitive, data-intensive work so people can be freed from the mundane to pursue the meaningful, companies can grow further, and customers can be served faster and better. \n \nWorkFusion is increasingly recognized as the world leader in industry-specific process automation, offering AI-powered software with particular focus on the needs of banking, financial services, and insurance enterprises. Our Intelligent Automation Cloud combines RPA, machine learning and analytics in one unrivaled platform that can be deployed quickly and scale without limit. We compete in the world’s fastest-growing software segment and we are growing at record pace with customers spanning the globe. \n \nAs the health and safety of our teams is always a primary concern, we are currently a primarily remote workforce worldwide. Officially, our headquarters is in New York City (on Wall Street) with additional hubs in Canada, Europe and Asia.\n\nPosition\nThe ideal candidate is self-driven, data-driven, and has the ability to work in a distributed team. This professional holds a strong knowledge of Site Reliability Engineering and DevOps methodologies related to Delivery solutions & Platform Automation. In this role, you will be leading the Site Reliability team, sharing your experience in the field with our Delivery, Support, Product Engineering, and Infrastructure teams. You will simultaneously focus on technical excellence and ensuring the team quickly delivers value to customers who have deployed our software in production. The person who fills this role is a subject matter expert who excels in collaboration, open communication, and reaching across functional borders.\n \nKey responsibilities\n●        Manage a team of SRE resources, providing guidance and mentorship, technical leadership, and be a primary point of contact for coordination with Support and Product organizations\n●        Provide support for Site Reliability / DevOps driven solutions for cloud and on-premise environments, troubleshoot issues with applications and middleware components\n●        Take learnings from the field and take ownership of making sure the improvements/fixes/learnings make it back into the product and to WorkFusion documentation\n●        Work on Ansible-based product installers and automation scripts\n●        Build and support Monitoring Systems around the product, as well as highly available and scalable services\n●        Troubleshoot MySQL and Postgres DBs and the physical and virtual resources on which they run for optimal performance\n●        Architect and implement increasingly better HA, DR, and backup solutions\n●        Creates the vision and improves the whole lifecycle of services - from inception and design, through deployment, operation, and refinement. This includes researching gaps in automation and laying out the plan to remove the gaps.\n●        Recommends and implements strategies, policies, and procedures by evaluating organization outcomes; identifying problems; evaluating trends; and anticipating requirements.\n●        Show ownership of customer success with WorkFusion platform management.\n●        Partner with Delivery, Engineering, and Product to steer SRE alignment and strategy to ensure the reliability of WorkFusion platform deployments\n●        Respond to client reliability concerns and agile problem resolution.\n●        Lead resource management and efficiency strategy. Provide technical leadership development and recruitment inside the organization.                                                            \n●      Collaborate with our growing DevOps/Infra team to build and iterate on our infrastructure to improve reliability and performance\n●        Identify parts of the system that do not scale, provide immediate palliative measures, and drives long-term resolution of these incidents.\n●        Identify Service Level Indicators (SLIs) that will align the team to meet the availability and latency objectives.\n●        Advanced knowledge of the Platform features and functionalities  \n●        Provide L3 escalation support to provide expert and minimize the business outage. \n●        Document solutions and techniques for resolving issues, ensuring information is available to the team through technical notes and the internal knowledge base\n \nQualifications/Experience\n●        Strong expertise (7-10 years) in administration and engineering of Linux and Windows OS (Amazon Linux, RedHat, Centos, Windows 2016)\n●        Hands-on experience (>3 years) working with Tomcat or other Java servlet containers\n●        Practical knowledge of administering and tuning web servers (Nginx), application servers, and databases (MySQL, PostgreSQL, MongoDB/MSSQL)\n●        Proficiency in Bash (> 3 years)\n●        Familiarity with Windows Systems and its Services (Microsoft SQL a huge plus)\n●        Strong Knowledge of AWS, Azure, or GPC cloud services - EC2, ASG, LB, KMS, S3, Route53, Azure LB\n●        Solid experience (>2 years) in Ansible CM, or similar\n●        Deep understanding of CI/CD tools (Jenkins/Sonar/Nexus)\n●        Secret Management Software (Hashicorp Vault), RabbitMQ, Marathon, Mesos\n●        VMware (Virtualization/Hypervisor)\n●        Advanced Storage Knowledge\n●        Scripting languages (Bash, PowerShell)\n●        System Analysis\n●        Monitoring and alerting experience (ELK)\n●        Databases (MSSQL, MySQL, PostgreSQL/MSSQL)\n●        Network administration, DNS, TCP/IP, Security, PKI Certificate management\n \nWould be a plus\n●        Familiarity with ELK stack; Grafana/Splunk\n●        Practical knowledge of Hashicorp Vault\n●        Experience with Java development\n●        Deep understanding of Linux kernel, networking\n\nBenefits\n●        Smartest people in the industry and the most interesting product in the global market\n●        Competitive salary\n●        Indefinite employment contract employment form\n●        Opportunity to work remotely\n●        Comprehensive social benefits package, including:\n  o   Health insurance covering all the best med centers for you and your family\n  o   Sport expenses compensation\n  o   Psychologist services compensation\n  o   Professional and English trainings\n  o   Team activities\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Data Science and DevOps jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\n🌏 Worldwide


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Astronomer


closed 
💰 $65k - $120k*

exec

 
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Astronomer is the commercial developer of Apache Airflow, a community-driven open-source tool that’s leading the market in data orchestration. We’re a globally-distributed and rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to build an Enterprise-grade product that makes it easy for data teams at Fortune 500’s and startups alike to adopt Apache Airflow. As a member of our team, you will be at the forefront of the industry as we strive to make Apache Airflow the de-facto standard in data orchestration.\n\nAstronomer’s Data Science team is at the hub of everything that happens at our company — innovation, community, and operations. We collaborate with the development team to drive a data-informed product strategy. We work with account teams to identify new opportunities for growth and customer satisfaction. We create operational platforms used by executives, finance, and operations to manage the business.\n\nMost importantly of all, we work with the open-source community to develop resources and tools that will help data engineers and data scientists and other users of Apache Airflow to be successful.\n\nWhat unites everything we do is curiosity, a love of data, a cooperative spirit, and a drive to do what it takes to get the job done.\n\nThe Lead Data Scientist will be a founding member of this new team.\n\nAt Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  Astronomer is a remote-first company. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Data Science jobs that are similar:\n\n $65,000 — $120,000/year\n


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Olo


closed 
💰 $65k - $130k*

cloud

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Olo's mobile and web solutions let people order their favorite foods from their mobile devices and computers, helping restaurants connect with their on-the-go customers to increase their revenues from the mobile and web channel. This translates into an exciting opportunity for a Cloud POS Specialist to help our customers use our products to improve their in store operations.\n\nYou will play a crucial role within Olo's Customer Success Team by working directly with our customers to provide expert-level support for Olo's POS Cloud integrations for both new brands and existing ones and work to understand their unique goals and business processes. You will also work with the Olo team providing expert POS and industry knowledge to help the evolution of the product offerings as they relate to Cloud POS systems and be an important contributor to our team, providing technical and product knowledge expertise to clients, Deployment Managers, Technical Specialists, and Product Managers, along with our support and leadership teams.\n\nYou will report to the Lead Technical Specialist- POS and can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC on the 82nd floor of One World Trade Center.\n\nAbout Olo \n\nOlo powers digital ordering and delivery programs that connect restaurant brands to the on-demand world, placing orders directly into the restaurant through all order origination points – from a brand's own website or app, third-party marketplaces, social media platforms, smart speakers, and home assistants. Olo serves as the on-demand ordering and delivery platform for over 400 brands, such as Applebee's, Checkers & Rally's, Cheesecake Factory, Shake Shack and more. Learn more at www.olo.com.\n\nOlo's headquarters is located on the 82nd floor of One World Trade Center. In addition to our NYC cohort, over 65% of our team works remotely across the U.S. We offer great benefits, such as 20 days of Paid Time Off, fully paid health, dental and vision care premiums, company equity, a generous parental leave plan, and perks like team events. Check out our culture map: https://www.olo.com/images/culture.jpg.\n\nWe encourage you to apply! \n\nWe value diversity. At Olo, we know a diverse and inclusive team not only makes our products better, but our workplace better. Many groups are underrepresented across the tech sector and we are committed to doing our part to move the needle.\n\nOlo is an equal opportunity employer and diversity is valued at our company. All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.\n\nIf you like what you read, hear, and/or know about Olo, and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you!\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Cloud jobs that are similar:\n\n $65,000 — $130,000/year\n


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Density


 
💰 $60k - $140k*

Density is hiring a
Remote Data Scientist

At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class. \n\nWe build systems that are real-time, accurate, and anonymous by design. Our systems help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people. \n\nCounting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later. \n\nToday alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system. \n\nWe’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity. We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly. \n\nThis role reports to our Director of Data Science & Engineering. \n\nAs a Data Scientist at Density, you will work on algorithms developed for applications deployed on state-of-the-art remote devices as well as our cloud platform. The data you will work with includes ToF depth data, point clouds from radar, and device parameters. Algorithms include computer vision segmentation identification, 3D point cloud surface analysis, and optimization algorithms for sensor tuning. Join a team of experienced data scientists as we expand what is possible.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n


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Cryptocurrency Startup


 
💰 $60k - $140k*

Cryptocurrency Startup is hiring a
Remote Data Scientist Chorus One

\nChorus One is a leading cryptocurrency staking provider in Europe securing over $1bn in assets and operating nodes on cutting edge Proof of Stake networks such as Solana, Cosmos, Ethereum 2.0, Terra, and Polkadot. We also research, design, and build staking and interoperability solutions to enable a richer multi-chain ecosystem.\n\nTo supplement our extraordinary growth in 2021, we are seeking a Data Scientist to help us collect and analyze network data with the goal to optimize our performance, assist our decision making, and to maximize our customers’ rewards from participating in decentralized networks. \n\nOperating nodes is becoming more than a DevOps exercise as decentralized finance is maturing on Proof-of-Stake networks and staking protocols become increasingly complex; exposing node operators to a variety of optimization problems. As an example, the indexing protocol The Graph requires node operators to price their services and compete against other data providers. Additionally, decentralized exchange protocols and other DeFi applications bring opportunities to node operators to increase their revenues by ordering transactions (often referred to as MEV). The data science role will work closely with our platforms and research team to lead our exploration of these cutting-edge problem statements ensuring that we are providing the most efficient and performant service on the networks we support without exploiting users of these platforms.\n\nPeople at Chorus One come from all walks of life; we believe in the importance of carving out more space for diversity in the tech industry and bring down barriers to entry in the blockchain space to those underrepresented in the industry. We are aware of the systemic obstacles faced by women, non-binary people, people of color, and other minorities in the workplace, and we are taking active steps to making Chorus One, and the blockchain industry more broadly, a safe, inclusive space where all the voices are heard and equally matter.\n\nYour Responsibilities:\n\n\n* Build a data pipeline for the various networks we operate on to collect data about our nodes earnings, uptime, and other relevant metrics for internal usage (e.g. optimization, analytics, and accounting reports).\n\n* Solve optimization problems for protocols we operate on with the goal to maximize returns for our delegators and us, e.g. cost modelling and subgraph allocation on The Graph, minimizing gas expenditure, or optimizing pricing for transaction routing on Connext.\n\n* Work closely with our research and engineering team to formulate and execute a sustainable MEV strategy for Chorus One.\n\n\n\n\nThe ideal candidate:\n\nThe ideal candidate should be able to combine the knowledge of data science with software engineering to build data pipelines that can extract, analyze and produce actionable outputs from blockchain data. They should be able to map business questions to mathematical models and solve those algorithmically at a production level.\n\nFrom the engineering perspective:\n\n\n* Can dig into blockchain source code and relevant RPC docs to pull the required data.\n\n* Can develop automated data pipelines to obtain and process necessary data from APIs (preferably in the cloud).\n\n* Ability to write programs/fast-prototype solutions in Python, Golang or JavaScript.\n\n* Ability to understand (blockchain) codebases typically in Golang or Rust. \n\n\n\n\nFrom the data science perspective:\n\n\n* Can map business problems to mathematical models taking into account cryptoeconomic protocol designs.\n\n* Can determine what data is needed and how to get it to accomplish the task.\n\n* Can develop algorithms to solve the problems.\n\n\n\n\nFrom a business perspective:\n\n\n* Can work closely with the research team to understand cryptoeconomic protocol designs and implementations with the goal to identify data requirements and business opportunities.\n\n* Can report on a high level with regards to design, progress and performance of developed algorithms.\n\n* Can configure/develop visualization dashboards for the analyzed data, algorithms and their (financial) performance.\n\n\n\n\nIn addition:\n\n\n\n* You can take initiative and work independently.\n\n* You are able to work in a remote team with different stakeholders. E.g. from working with the business team to determine requirements for data projects to helping the infrastructure team automate processes that make use of the produced algorithms and data.\n\n* You have a private interest in cryptocurrencies and are active in the community looking for a full-time role. We are especially interested in individuals with expertise in staking and/or decentralized finance. Bonus points for people that have already experimented with decentralized protocols, e.g. building your own trading bots to arbitrage between DEXes or to trigger protocol liquidations, running your own blockchain nodes, etc.\n\n\n\n\nIf you think that you can fulfill part of these requirements and are looking for a way to develop in the other ones, this is a genuinely challenging role to help you make the jump to the most exciting industry in the world.\n\nBenefits\n\n\n* Autonomy, a friendly and supportive work environment and the opportunity for rapid growth.\n\n* Competitive fixed salary (USD 80-120k) + equity, a brand new laptop, a USD 3,000 a year training stipend, and a cryptocurrency starter kit.\n\n* All-expense paid quarterly team retreats at nice destinations (Coronavirus permitting). Past retreats took place in Egypt, Serbia, Kenya, USA, South Korea, and Dubai.\n\n* Remote work\n\n* Work on state of the art protocols that lay the foundation for an open, transparent, and programmable financial system.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n


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Gradient Metrics


closed 
💰 $60k - $140k*
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
\nAre you insatiably curious? A lover of research, statistics, and programming? Do you enjoy a formidable business challenge? If so, then we share a lot in common and would love to get to know you better.\n\nWhat is Gradient Metrics?\n\nWe’re a new breed of market researchers and data scientists that apply statistical models to make difficult decisions easier. We create actionable intelligence from data of any kind. We investigate deeply and iteratively to solve problems, not symptoms. Above all else, we are never satisfied with the first layer of understanding.\n\nWe help a diverse array of clients from Series A startups to Fortune 100 companies precisely evaluate their marketing campaigns, calculate customer lifetime value, assess brand equity and experiment with new product design. And that’s just an appetizer.\n\nThere is no “standard” day at Gradient — we like to push the norm by exploring new methodologies and technologies. We can do this because we are lean, flexible, and efficient. This makes us a little different than our peers and we’re looking for someone with a healthy dose of curiosity, brilliance, and (a bit of) grit to join us. Head over to our website and our latest newsletters to find out more about who we are and what we do.\n\nWhat We're Looking for: Data Scientist\n\nWe are looking for a data scientist who is highly proficient in R (actually, lives and breaths R) and wants to be a part of a research team that helps clients make difficult decisions and automate our research capabilities.\n\nThis role consists of three primary domains:\n\n* Building, improving and maintaining our internal R infrastructure, which currently includes 10+ packages that are always under active development\n\n* Executing and interpreting data analyses (using the functions and packages that you’ve built yourself!) to advise our research managers\n\n* Includes (survey) data processing, tidying, reshaping and visualising\n\n\n\n\n* Developing and building new research models, grounded in statistical best practices, along with being able to explain them to members of our research team\n\n\n\nThe skill set for this role should include:\n\n\n* Analyzing (survey) data in R\n\n\n* Highly fluent in tidyverse: dplyr, tidyr, haven, purrr\n\n\n* Able to transform wide format into long format and vice versa\n\n* Able to join datasets together with the appropriate type of join\n\n* Able to group, filter and summarize data\n\n* Able to work with (nested) lists and the purrr function family\n\n* Able to work with strings and regex patterns\n\n\n\n\n\n* Able to work with metadata (e.g. column labels, data recoding)\n\n* Ability to judge data and respondent quality\n\n\n\n\n\n* R software development\n\n\n* Driving internal code development\n\n\n* Writing clean, properly formatted and commented code\n\n* Delivering code with tests and examples\n\n* Providing extensive documentation in the form of vignettes\n\n* Packaging code and automating checks with CI solutions\n\n\n\n\n\n* Experience with git\n\n* Constantly willing to learn and stay up to date with latest developments in R\n\n\n\n\n\n* Statistical inference:\n\n\n* Experience with the creation of classification, regression and clustering models\n\n* Experience with the GLM family (gaussian, poisson, binomial, survival, and ordinal models) as well as hierarchical models\n\n* Ability to explain and synthesize the results of statistical models to a non-statistician\n\n\n\n\n\n* Visualization:\n\n\n* Deep familiarity and expertise in the ggplot2 library\n\n* Able to produce visually appealing and effective plots\n\n\n\n\n\n\n\n\nNice to have:\n\n\n* Familiarity with designing and analyzing survey experiments, including but not limited to:\n\n\n* Discrete choice experiments (e.g., conjoint, MaxDiff)\n\n* Randomized control trials\n\n* Message and persuasion testing\n\n\n\n\n\n* Familiarity with survey design platforms (e.g., Qualtrics)\n\n* Experience in creating and working with APIs\n\n* Experience with AWS cloud computing provider\n\n\n\n\nEmployment conditions\n\nBased anywhere, working hours in EU or North American time zones (ET +- 6 hours).\n\n\n* Comfortable with permanent remote arrangement\n\n* Open to a 90 day trial period\n\n* Competitive salary, depending on location and experience\n\n* Flexible working hours\n\n* Lean SCRUM points system\n\n* Unlimited days off\n\n* Spoken and written language: English\n\n* Bi-annual live meet-up trips with the entire team\n\n\n* We’ve already visited New York, Paris and the Rocky Mountains! Maybe your home town can be next, if you can convince us of how awesome it is\n\n\n\n\n\n\n\n\nWhy we think we’re special\n\nGradient is a truly unique company, and we intend to keep it that way. We value both independence and collaboration — meaning you can do what you need to do to solve a problem, but you have all the tools and expertise at your disposal to get it done. You’ll be part of our growth and will help craft our legacy.\n\nYou’ll learn something new every single day by solving problems that rarely have a clear solution. And if you don’t know something, we’ll give you the resources you need to figure it out. We love books, classes, and workshops.We’ll take good care of you with a competitive salary, healthcare coverage, unlimited time off, and a flexible schedule that allows you to be a real person too. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n


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Veeva Systems


closed
🇪🇺 EU-only
 
💰 $70k - $120k*

exec

 

ruby

 

engineer

 

front end

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.\n\n\n\nThe Role\n\n\n\nVeeva Vault Clinical Data Management System (CDMS) is changing the way clinical data is collected, managed and reviewed in the industry. Vault CDMS combines EDC, coding, data cleaning and reporting in one application. Gone are the days of complex integrations that limit clinical data availability as Vault CDMS enables research teams to make faster and more informed decisions.\n\n \n\nVeeva Systems is looking for a Technical Architect with experience in clinical systems integration, who will be a leading member of the Veeva CDMS Professional Services group. We are looking for a person that will provide consulting and technical design knowledge and expertise to project teams implementing Veeva Vault CDMS solutions to companies in the life sciences industry.\n\n \n\nThe Technical Architect will lead customer implementations by providing expertise with solution architecture design, technical integration design, and best practices. The Technical Architect is a customer advocate working closely with other Veeva teams (Services, Product, Sales, Strategy) to ensure customer success today and in the future.\n\n \n\nOpportunities are available across Europe for this role. The work location is remote within the EU. Qualified EU based candidates are encouraged to apply.\n\n\n\n#LI-Remote\n\n\n\n\n\nVeeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.\n\n\n\nVeeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Ruby and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\n🇪🇺 EU-only


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Petal


closed 
💰 $70k - $120k*

exec

 

ruby

 

engineer

 

front end

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
Prism Data\n\n\n\nPrism Data is a next-generation transaction intelligence platform that helps businesses serve more customers, build better products, and make smarter decisions. With the rise of open banking, consumers can connect accounts and share their financial histories quickly and easily—we help companies understand those histories and turn them into innovative products and experiences. Prism Data’s technology takes raw transaction data from financial providers and transforms it into actionable insights to better understand a consumer’s credit risk, identity, income and more, all via API. \n\n\n\nPrism Data was built by the team that created Petal, aiming to further Petal’s mission to bring safe and affordable financial services to consumers everywhere, especially those without existing credit histories, who are historically underserved in today’s financial ecosystem. \n\n\n\nThe Prism Data team is made up of data scientists, software engineers, risk managers, and operators working with our partners to create innovative and inclusive financial products. We launched in April 2021 and are looking to scale our team of founding engineers to help us build Prism Data from first principles. At Prism Data, you’d be a part of an engaged and rapidly growing team, building the future of financial services to help our partners solve big problems and power the next generation of financial innovation. \n\n\n\nThe Data Scientist role \n\n\n\nWe are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved making the data science function critical for this mission.  These models will support our risk underwriting, acquisition and customer management teams. These models will allow our clients to improve their underwriting, acquisition, and customer management processes.\n\n\n\nFor our California employment information privacy statement, please click here. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Ruby and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


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Summit CPA Group


closed 
💰 $60k - $120k*

analyst

 

finance

 

non tech

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
\nYou might be a good fit for this job if…\n\nPriority Tasks/Responsibilities\n\n\n* Develop, update, and maintain spreadsheets, databases, and applications that require daily/weekly/monthly attention\n\n* Support Accounting and Audit team on technical issues and support tickets that arise\n\n* Continuous evaluation of current processes and applications, looking for ways to improve.\n\n* Help support onboarding team with organization and management of new data sets\n\n* Ability to identify data sets needed from new platforms and create a process to merge into Summit CPA’s existing data structure for clients\n\n* Work to standardize processes to improve accuracy and efficiency of reporting\n\n* Independently execute research analyses based on broadly defined criteria\n\n* Eager to learn additional technologies as required\n\n\n\n\nRequired Experience and Skills\n\n\n* Degree in business analytics, computer science, finance, or related discipline\n\n* 1-3 plus years of work experience in an accounting/financial industry setting preferred\n\n* Comfort and familiarity with large data sets, relational databases, reporting and query tools\n\n* Superior critical thinking skills and analytic abilities to interpret complex data using SQL and Microsoft Excel\n\n* Excellent communication and listening skills\n\n* Must be detail oriented, organized, and possess good analytical skills\n\n* High standards of accuracy\n\n* Must be able to handle multiple assignments/initiatives and operate in a fast-paced environment\n\n* Excel, VBA - mandatory\n\n* SQL, Python, – preferred\n\n* R, JavaScript, RPA - plus\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Analyst, Finance and Data Science jobs that are similar:\n\n $60,000 — $120,000/year\n


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German Edge Cloud & Co. KG


closed 
💰 $60k - $110k*

dev

 
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
\n\n* Evaluierung und Betrieb von BigData-Komponenten (Wie z.B. Cassandra / Kafka) in einem Skalierbaren Umfeld (Kubernetes).\n\n* Evaluierung und Umsetzung von Datenreplikationskonzepten zur Entkopplung der Ressourcen zwischen Analyse und Produktion\n\n* Evaluierung und Umsetzung von übergreifenden Sicherheitskonzepten bezüglich des Datenzugriffs\n\n* Evaluierung und Integration von Tools im Data Science Umfeld (Spark, Flink, Jupyter usw.)\n\n* Koordinierung und Test der Umsetzung von Teamübergreifenden Anforderungen\n\n* Technische Umsetzung der Anforderungen in einem selbst-organisierten Team\n\n* Umsetzung von Frontends gemäß Vorgaben auf Grundlage des GEC UI Frameworks.\n\n* Agile Entwicklung und Dokumentation von erweiterbaren, modularen Software-Architektur\n\n* Schreiben von wartbarem Code\n\n* Mitarbeit an teamübergreifenden Framework-Komponenten\n\n* Aktive Teilnahme an Planungs- und Review-Meetings\n\n* Sicherstellen der Qualität durch Erstellung automatisierter Unit-, Integrations- und End-to-end-Tests\n\n* Bereitstellung eines Benutzerhandbuchs für andere Entwickler\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Data Science and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n


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Unusual Ventures


 
💰 $60k - $100k*

social media

 

exec

 

Unusual Ventures is hiring a
Remote Data Science Community Manager

About us:\n\nThe modern world is filled with data. This data flows inside organizations between departments, customer interactions, products usages, external resources, and beyond. Can we use any of that historical data to predict the future? In the majority of cases we can, but that historical data needs to be prepared first. This preparation step is called labeling. It's a process of real people giving meaning to the information they see on the screen.\n\nHeartex builds software that helps people do what only they can do - give meaning, with the goal of minimizing the amount of manual work, automating the data labeling process itself!\n\nWe've started with releasing an open-source product called Label Studio, it's sole purpose is to help people working with data, usually, data scientists in their day-to-day activities preparing for the data's prime time - when it's used in the process of training an algorithm. The result of this process is a machine learning model that is, if built well, is of high value because of its predictive power. \n\n20000 Data Scientists use Label Studio to get functional and accurate ML models. We want to spread that beyond, and we need your help!\n\nWhat we are looking for: \n\nHeartex is looking for someone to lead Data Science Relations, who excels in cultivating user growth through a multitude of channels (Slack, LinkedIn, Twitter, etc). You'll partner with our Founders, the CEO and CTO, to help drive freemium user adoption of our product through strategic community building. This is a rare chance to help transform the machine learning space with a next-gen solution.\n\n\n\n\nWhat we need from you:\n\n\n\n\n* Increase Label Studio adoption and awareness, however you can: content, templates, partnerships, you name it\n\n* Build a community from the ground up: set up a forum, encourage advocacy, talk to users (a ton)\n\n* Influence and drive the product roadmap with insights from users and the community\n\n* Create demos & example applications to best showcase Label Studio and upcoming features to the data science community\n\n\n\n\n\n\n\n\n\n\nAbout you:\n\n\n\n\n* Must have prior experience in developing, building and managing community programs for bottoms up G2M strategies \n\n* Must have strong track record of creating content for communities (thought leadership, technical tutorials, technically adjacent tutorials, pure SEO)\n\n* Experience engaging with data scientists 1:1 via blog posts, meetups, presentations, slack channels, podcasts, etc.\n\n* Strong understanding of Open Source software and their users \n\n* Past experience as a Data Scientist and understanding of data science IDEs and frameworks like Pandas, Jupyter, etc. \n\n* Strong following on social media platforms such as Twitter and Slack is a must have, with excellent understanding of cultivating user engagement\n\n* Excellent communication skills\n\n\n\n\n\n\n\n\n\n\nNice to have:\n\n\n\n\n* Experience working with product teams to help translate user interviews into product roadmap requirements \n\n* Preparation of social ad buying and content promotion tactics\n\n* Strong understanding of reporting and analytics\n\n\n\n\n\n\n\n\nBenefits\nSeed-stage equity\nHealth, Vision and Dental\nGenerous PTO  / sick leave\nPosition can sit in other location \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Social Media, Executive and Data Science jobs that are similar:\n\n $60,000 — $100,000/year\n


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IHS Markit


closed 
💰 $65k - $120k*

exec

 
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 10 days ago
\nYour Role\nYou will be responsible for research and development of intelligence behind document structure understanding solutions as part of IHS Markit products. Your role is needed to design and implement intelligent content understanding pipelines from raw document to a structured knowledge.\n\nYour duties will include:\n\n\n* Technically lead the team of data scientists and ML engineers to develop production ready components based on recent SOTA approaches for CV and NLP\n\n* Hands-on researching, prototyping and building content understanding pipelines and working models as their components, including state of art neural architectures in combined Computer Vision and Natural Language Processing domains – data augmentation, model selection, pre-training, optimization, etc.\n\n* Converting business problems to data science tasks collaborating with Product and Project managers\n\n* Defining and/or influencing the strategy of research-intensive projects, including goal metrics, development process, toolsets and communications for optimal progress\n\n* Hunting for quality datasets, including driving the development of datasets from scratch\n\n* Learning and sharing new things around ML/DL for CV and NLP to keep the AI team on the cutting edge\n\n\n\n\nAbout You\nYou are a data scientist/deep learning engineer experienced in building the working intelligent solutions related to analysis of unstructured content, who is motivated by complex and fuzzy challenges. Your required qualifications and experience include:\n\n\n* Degree in data science, math & computer science, statistics or related field\n\n* 4+ years of professional experience in data science and deep learning with application to Computer Vision and/or Natural Language Processing\n\n* Soft skills of a technical leader for the team (communication, engagement, patience, motivation, integrity)\n\n* Strong programming skills in Python with engineering\n\n* Strong practical experience in building of own DL models with TensorFlow, Keras and/or PyTorch, etc.\n\n* Developed skills in algorithms and data structures\n\n* Solid understanding of statistics and math behind deep learning\n\n* English language (B1+)\n\n\n\n\nThe following will hugely increase our interest:\n\n\n* Application of Computer Vision to Document Understanding (OCR, object detection, text embedding with custom pre-training or other)\n\n* Strong experience with data analysis tools\n\n* PhD degree in related field\n\n* Publications in related domain\n\n* Linux user experience\n\n\n\n\nWhat we offer\n\nOpen and Collaborative Environment:\n\n\n* Own product development based on science and technology\n\n* Personal growth and career development supported on corporate level\n\n* Support of self-study and research\n\n* Development of own deep learning architectures\n\n* Getting custom datasets from the team of professional annotators\n\n* Training on powerful private GPU cloud\n\n* Research and application of state-of-art models\n\n* Development of own unique AI-driven products that work out-of-the-box and loved by world top companies\n\n* Great colleagues and open atmosphere at workplace\n\n* Knowledge and discoveries sharing inside and outside the team\n\n* Collaboration with a great team of ML professionals\n\n* Participation in international workshops and conferences\n\n* Continuous education with invited tutors and paid online programs\n\n\n\n\nEmployee benefits\n\n\n* English language classes\n\n* Employee stock options plans\n\n* Vacation time increase with tenure\n\n* Extended medical insurance for employees and their families\n\n* Personal accident coverage\n\n* Employee assistance program\n\n* Reimbursement of sports activities\n\n* Corporate and social events\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Data Science jobs that are similar:\n\n $65,000 — $120,000/year\n


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Bottomline Technologies


closed 
💰 $60k - $140k*
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 10 days ago
\nBottomline is at the forefront of digital transformation. We are a growing global market leader uniquely equipped to address the changing needs of how businesses pay and get paid. Our culture of Working with and for each other enables us to delight our customers. We empower our teams to think like owners driving customer satisfaction, helping them grow their business, and win in their markets.\n\nWe are looking for Sr. Data Scientist to innovate, win, and grow with us in Portsmouth, NH.\n\nAs a leader within our global Data Science team, you will work on exciting Machine Learning and Data Mining projects in the Financial Industry!\n\nJoin an established predictive and advanced analytics team to build innovative analytics solutions to solve problems in the financial industry.\n\nWe are looking for a Sr. Data Scientist who is passionate about data and delivering value for our business and our customers using this data. The analytics team develops and applies advanced machine-learning techniques and algorithms to solve problems for online payments and financial messaging. This is an exciting time to be joining this team of Data Scientists as it transitions from deployed databases to a full-fledged cloud-based working environment. \n\nHow you'll contribute:\n\n\n* Lead, coach and manage a small team of junior data scientists and analysts based in North America\n\n* Process massive amounts of structured and unstructured data using Spark/SQL/Hive\n\n* Build advanced supervised and unsupervised machine learning models\n\n* Research new machine learning solutions to complex business problems\n\n* Write production code in Python\n\n* Carry out A/B test experiments\n\n* Communicate findings to a non-technical audience\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n


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ClimateAI


closed 
💰 $60k - $140k*
This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 12 days ago
About ClimateAi\nClimateAi is on a mission to accelerate resilience in food, water, and energy. The company has launched the first of its kind Resilience-as-a-Service platform in agriculture and forestry to help farmers and agriculture supply chains adapt to climate change. \nClimateAi was founded at Stanford University and one of the founders has worked with Vice President Al Gore. We are a fast-growing company looking for passionate engineers or scientists who can contribute to the solutions for the most important issue of our generation. We have an opening for a senior data scientist to work at the intersection of environmental modeling, climate change, and machine learning. \nAny and all referrals would be greatly appreciated and rewarded with a $500 referral bonus if successful.\n\nSubmit a resume by 15 December 2020. In particular, make sure to add a link to a project that demonstrates your data analysis and coding skills. In addition, include links to any personal web pages, LinkedIn, Github, or similar.\nIf you were referred to this position by someone, please include their name and email in your application\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science jobs that are similar:\n\n $60,000 — $140,000/year\n


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Breakthrough


closed 
💰 $65k - $130k*

engineer

This job post is closed and the position is probably filled. Please do not apply. 🤖 Closed by robot after apply link errored w/ code 404 10 days ago
\nBreakthrough is seeking a Data Science Engineer. This position will be part of the Technology Solutions team based in Green Bay, WI.  We are seeking an individual who is passionate about data science and machine learning exploration and solution building.\nThis role will work closely with our engineering team to identify solutions, rapidly prototype and build enterprise solutions that integrate with our product platform.  The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches.  This is the perfect opportunity to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and our clients.\nPrimary Responsibilities:\n* Build machine learning models to make accurate predictions about the future based on past data.  Pursue ideas and experiment to find interesting patterns and trends in the data that add value and create new business insights.\n* Design, build and test hypothesis with algorithms and machine learning methods.  \n* Design requirement driven data models to support the enterprise product development and leverage a proprietary data lake structure.\n* Acquire, analyze, combine, synthesize and store data from a wide range of internal and external sources.\n* Bring a solid understanding of supervised and unsupervised machine learning methods.\n* Strong understanding of statistics and the ability to critically evaluate statistical models.\n* Communicate complex data analysis results clearly and understandably to business leaders and peers.\n\n\nWhat qualities are we looking for?\n* An individual who is passionate about data science with an inquisitive nature and drive to seek answers through data.\n* An individual who strives for excellence with a laser focus on team communication and facilitation of ideas.\n* An individual with a proactive attitude who works well in a fast-paced team environment.\n* An individual who communicates and collaborates well with IT and business teams.\n* A critical thinker with good problem-solving skills and an ability to multi-task.\n* Strong communication skills to express oneself clearly both verbally and in writing. Persistent, active listening skills.\n* Demonstrated leadership skills with a willingness to readily and voluntarily take ownership of project issues.\n* An individual that can work both at the strategic level and at the tactical level, holding others accountable while building team rapport and engagement.\n* Ability to develop and maintain positive working relationships throughout the organization.\n\n\nQualifications and Skills:\n* Degree in Computer Science or equivalent quantitative field and 5+ years of experience in a similar Data Science role.\n* Proven experience with R, Python, SQL, TensorFlow, Jupyter and ML Methods (e.g. Random Forests, Neural Nets).\n* Deep understanding of distributed data management systems and related applications\n* Mastery of data lake design and implementation considerations such as columnar storage formats and partitioning.\n* Experience working with and extracting value from large, disconnected and/or unstructured datasets.\n* Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency and workload management.\n* Experience building and optimizing 'big data' data pipelines, architectures and data sets.\n* Experience with modern CI/CD pipeline technologies involving git repositories, static code analysis, test-driven development etc.\n* Automated analysis optimizations based on performance metrics.\n* Experience with GCP technologies or related Cloud technology experience.\n* Experience with analytics tools such as Apache Beam, Spark, JupyterLab, etc. \n* Experience with modern infrastructure as code technologies like Docker, Kubernetes, Terrraform, and Airflow.\n* Excellent teamwork, coordination, influencing and communication skills.\n\n\nABOUT BREAKTHROUGH:Breakthrough is the expert in managing the energy and information that fuels the movement of goods globally. We use our patented technology and industry knowledge to create transportation energy and supply chain management strategies for the world's leading shippers. We remove the waste associated with distorted supply chain practices and reveal data-driven insights to give our clients a competitive advantage in their supply chains.\nWHY WORK AT BREAKTHROUGH? See our SMART, PASSIONATE, and EDGY team in action: https://www.breakthroughfuel.com/careers/ \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Engineer jobs that are similar:\n\n $65,000 — $130,000/year\n


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Icertis


 
💰 $60k - $140k*

Icertis is hiring a
Remote Principal Data Scientist

With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 7.5 million+ contracts worth more than $1 trillion, in 40+ languages and 90+ countries.\n\nWho we are:  Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination\n\nAbout the role :\n\nThe Principal Data Scientist is a detail oriented forward thinking individual who will utilize data mining, data analysis, machine learning and natural language processing to bring innovation and differentiated capabilities to the Icertis Contract Intelligence. You will be at ease with contemporary machine learning, natural language processing frameworks and quantitative approaches and will be able to critically evaluate and design, build, and support pipelines that can analyze contract document collections at scale. When no suitable approaches are available, is able to craft new and innovative machine learning and language processing solutions. Knowledge of enterprise level software architecture and components is a big plus though is not required. You will have strong verbal and written communication skills, be effective in interacting with technical and non-technical professionals, and be comfortable with team building and working in a team.\n\n\nThis opportunity is open for Icertis Everywhere - Full-time work from home and would not require relocation to Pune.\n\nIcertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. \n\nIcertis is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary. \n\nIf you are in need of accommodation or special assistance to navigate our website or to complete your application, please