**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\nPlease mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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#Location\nUnited States, Canada

# 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\nPlease mention the words **COYOTE STAMP VIOLIN** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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\nEurope

\nSenior Data Scientist\n\nLocation: NYC Office or Fully Remote\n\nAbout Vic.ai \n\nVic.ai is creating the “Intelligent Accounting” era, using artificial intelligence to automate accounting and provide advisory, business insight, and eventually business foresight.\n\nWe’re a Series A stage start-up, founded by three Norwegian entrepreneurs and backed by renowned Silicon Valley investors (including Costanoa Ventures, Cowboy Ventures, and GGV Capital). We’re US-based, but our team is global, from New Zealand to California. We’re bringing AI to Finance and Accounting because the industry is ripe for automation and big-data insight and the market is huge: $200B just in the US.\n\nWe have two main office locations, New York and Oslo and over 50% of our team works remotely on a permanent basis. \n\nAbout you\n\nYou’ve been a software engineer for 5+ years, but you’ve been a tinkerer and a builder your whole life. We’re a team of builders—when we aren’t building Vic.ai, we’re tinkering with a personal project, contributing to open source, modding a drone, building a computer from components, etc.\n\nYou know a great data pipeline from a standard one, because you started out building textbook ones, and learned through experience all the things that make a pipeline robust, transparent, and scalable.\n\nYou’re ready for the next step in your career, ready to take on fast-moving challenges. You’re enthusiastic about AI and the possibilities it opens for software development and transforming traditional work. You aim at reaching greatness and delivering exceptional outcomes in your work.\n\nAs a team player, you are not afraid of reaching out to your colleagues to discuss development challenges, especially when you are stuck trying to solve a specific issue.\n\nYou are fluent in English.\n\nRole details \n\nYou will become part of our core back-end team reporting to our Engineering Manager and responsible for the systems that tie everything together into a production environment for our customers. The main focus of the role is to develop and scale our core cloud-based processing service, which includes our OCR technology, extracting data from various sources into databases, generating datasets for machine learning and structuring communication with our AI models.\n\nWe mainly develop in and use\n\n\n* Python \n\n* Celery\n\n* Pandas\n\n* Django\n\n\n\n\nextensively throughout our platform, so advance knowledge of these is highly preferred.\n\nIn addition, our technology stack consists of the following architecture, knowledge of which is desired:\n\n\n* Elixir + Phoenix\n\n* Docker + Rancher\n\n* Angular.io / TypeScript\n\n* Tesseract\n\n* GitHub + git-flow\n\n* AWS (EC2, RDS, KMS, SNS, etc)\n\n\n\n\nKey areas of responsibility\n\n\n* You will own the data pipelines that feed and interact with our AI models!  You will build them, monitor them, scale them.\n\n* Our AI eats large amounts of data. You will work closely with our AI team to set up scalable data storage solutions, for managing our datasets.\n\n* As part of continuous improvement take ownership of relevant system components to improve functionality, stability and/or capability\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Accounting, Finance and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

As a Senior Data Scientist, you will take the lead on shipping new data driven product features - leveraging cutting edge algorithms, solid software engineering and a good intuition about data.  You’ll be constantly learning and constantly teaching, expanding your skills across the stack and bringing in new technologies and methods to the team. We’re looking for engineers who will build products that seem magical to our users, and help us expand what we believe to be possible. \n\nAbout Primer \n\nThe world is changing at an accelerating rate and understanding the shifting landscapes has never been more critical. Primer is the premier artificial-intelligence powered platform that allows humans to get information that they need, instantly, in ways that until now have not been possible. We believe that truth is knowable; our mission is to free the curious to be their most human. We are building machines that can read natural language text documents, understand them, correlate them into events, and share what they learn by writing their own natural language text documents.  Our clients include some of the world’s largest corporations, financial institutions, and government agencies.You can learn more about Primer's technology and the sort of problems we solve atour blog, as well as recentmedia coverage of our work.\n\n\n\n\nFrom your first day, you’ll drive the technical implementation of a major feature. You might…\n\n\n\n\n* … train and deploy new ML models to structure new facts from news documents\n\n* … scale clustering algorithms to work on millions of documents at once\n\n* … build summarization algorithms that work on document types we’ve never seen before\n\n* … discover patterns of disinformation across news and social media, and propose product features that make it easier to uncover\n\n* … bring our algorithms to many different languages\n\n\n\n\n\n\n\n\n\n\nWe like:\n\n\n\n\n* Curiosity and enthusiasm, and a love for teaching and learning\n\n* Strong programming skills, including in Python, with at least 3 years experience in a production engineering team\n\n* Masters/Ph.D. in a quantitative field or at least 5 years building analytical/data driven products in an industry setting\n\n* Skills in data exploration, visualization, and cleaning\n\n* Experience applying machine learning algorithms to real data sets, preferably including text analysis and NLP\n\n* Experience in using one or more of the following: NumPy, SciPy, Scikit-Learn, NLTK, SpaCy, TensorFlow, Keras, PyTorch\n\n* Experience taking ambiguous problem statements through to delivered products\n\n* Experience interacting with end users/clients or strong interest in doing so\n\n\n\n\n\n\n\n\n\n\nAdded Bonus\n\n\n\n\n* Experience with ElasticSearch and Postgres\n\n* Foreign language proficiency / fluency\n\n\n\n\n\n\n\n\n\n\nWhat we offer\n\n\n\n\n* Rapidly growing company, with opportunities for growth into leadership roles\n\n* Health, Dental, Vision Benefits\n\n* Unlimited Paid Time Off\n\n* Smart, engaged co-workers who are at the top of their game\n\n* Honest and open environment for exchange of ideas\n\n* Real customers with global name recognition + healthy sales pipeline\n\n* Proactive learning and teaching opportunities via individual book allowances, tech talks, and brown bag lunches\n\n* Twice weekly catered lunches\n\n* Team outings and bi-weekly company happy hours\n\n* Fun, puzzle-loving office in the SF Financial District\n\n\n\n\n\n\n\n\nPrimer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.\n\nIf you need assistance or an accommodation due to a disability, you may contact us at [email protected].\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nAPPLY FOR THIS JOB \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Teaching, Elasticsearch, Sales, Medical and Non Tech jobs that are similar:\n\n $60,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThe Wikimedia Foundation is seeking an experienced executive to serve as VP, Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. \n\nReporting to the Chief Technology Officer, the VP, Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.\n\nThis role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.\n\nWorking closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.\n\nSome examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  \n\nYou are responsible for:\n\n\n* Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)\n\n* Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure\n\n* Creating scalable engineering management processes and prioritization rubrics\n\n* Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.\n\n* Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.\n\n* Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments\n\n* Contributing to our culture by managing, coaching and developing our engineering and data teams\n\n* Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation\n\n* Managing up to 5 direct reports with a total team size of 20\n\n\n\n\nSkills and Experience:\n\n\n* Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems\n\n* 5+ years senior engineering leadership experience\n\n* Demonstrated ability to balance competing interests in a complex technical and social environment\n\n* Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.\n\n* Previous hands-on experience in production big data and machine learning environments at scale\n\n* Experience building and supporting diverse, international and distributed teams\n\n* Outstanding oral and written English language communications\n\n\n\n\nQualities that are important to us:\n\n\n* You take a solutions-focused approach to challenging data and technical problems\n\n* A passion for people development, team culture and the management of ideas\n\n* You have a desire to show the world how data can be done while honoring the user’s right to privacy\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience with modern machine learning, search and natural language processing platforms\n\n* A track record of open source participation\n\n* Fluency or familiarity with languages in addition to English\n\n* Spent time having lived or worked outside your country of origin\n\n* Experience as a member of a volunteer community\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible non-US benefits are specific to location and dependent on employer of record \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, English, Education, Senior and Legal jobs that are similar:\n\n $80,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThe Wikimedia Foundation is seeking an experienced executive to serve as Vice President of Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. \n\nReporting to the Chief Technology Officer, the VP of Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.\n\nThis role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.\n\nWorking closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.\n\nSome examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  \n\nYou are responsible for:\n\n\n* Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)\n\n* Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure\n\n* Creating scalable engineering management processes and prioritization rubrics\n\n* Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.\n\n* Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.\n\n* Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments\n\n* Contributing to our culture by managing, coaching and developing our engineering and data teams\n\n* Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation\n\n* Managing up to 5 direct reports with a total team size of 20\n\n\n\n\nSkills and Experience:\n\n\n* Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems\n\n* 5+ years senior engineering leadership experience\n\n* Demonstrated ability to balance competing interests in a complex technical and social environment\n\n* Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.\n\n* Previous hands-on experience in production big data and machine learning environments at scale\n\n* Experience building and supporting diverse, international and distributed teams\n\n* Outstanding oral and written English language communications\n\n\n\n\nQualities that are important to us:\n\n\n* You take a solutions-focused approach to challenging data and technical problems\n\n* A passion for people development, team culture and the management of ideas\n\n* You have a desire to show the world how data can be done while honoring the user’s right to privacy\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience with modern machine learning, search and natural language processing platforms\n\n* A track record of open source participation\n\n* Fluency or familiarity with languages in addition to English\n\n* Spent time having lived or worked outside your country of origin\n\n* Experience as a member of a volunteer community\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible non-US benefits are specific to location and dependent on employer of record \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, English, Education, Senior and Legal jobs that are similar:\n\n $80,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

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\nPlease mention the words **OCCUR LOUD GLOVE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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 similar jobs related to Python, Machine Learning, Data Science, Senior, Engineer, Developer and Digital Nomad jobs that are similar:\n\n $70,000 — $130,000/year\n \n\n#Location\nWorldwide

\nXOi Technologies is changing the way field service companies capture data, create efficiencies, collaborate with their technicians, and drive additional revenue through the use of the XOi Vision platform. Our cloud-based mobile application is powered by a robust set of machine learning capabilities to drive behaviors and create a seamless experience for our users.\n\nWe are a group of talented and passionate engineers and data scientists working together to discover and provide valuable insights for our customers. We leverage state-of-the-art machine learning techniques to provide our users with these unique insights, best practices, and solutions to the challenges they face in their workplace. Problems and solutions typically center around aspects of the Vision platform such as image recognition, natural language processing, and content recommendation.\n\nAs a Senior Data Scientist, you will build machine learning products to help automate workflows and provide valuable assistance to our customers. You’ll have access to the right tools for the job, large amounts of quality data, and support from leadership that understands the full data science lifecycle. You’ll build models using technologies such as Python, Tensorflow, and Docker.\n\nResponsibilities:\n\n\n* Interpret and understand business needs/market opportunities, and translate those into production analytics.\n\n* Select appropriate technologies and algorithms for given use cases.\n\n* Work directly with product managers and engineering teams to tightly integrate new analytic capabilities.\n\n* Prepare reports, visualizations, and other documentation on the status, operation and maintenance of the analytics you create.\n\n* Stay current on relevant machine learning and data science practices, and apply those to existing problem sets.\n\n\n\n\nRequirements: \n\n\n* Excellent understanding of machine learning algorithms, processes, tools, and platforms including: CNN, RNN, NLP, Tensorflow, PyTorch, etc.\n\n* Proficient with the following (or comparable): Linux, Python, scikit-learn, NumPy, pandas, spaCy.\n\n* Applied experience with machine learning on large datasets/sparse data with structured and unstructured data.\n\n* Experience with deep learning techniques and their optimizations for efficient implementation.\n\n* Great communication skills, ability to explain predictive analytics to non-technical audiences\n\n* Bachelor’s in Math, Engineering, or Computer Science (or technical degree with commensurate industry experience).\n\n* 3+ years of relevant work experience in data science/machine learning.\n\n\n\n\nNice to Have:\n\n\n* AWS services such as Lambda, AppSync, S3, and DynamoDB\n\n* DevOps experience with continuous integration/continuous deployment.\n\n* Experience in software engineering best practices, principles, and code design concepts.\n\n* Speech-to-text or OCR expertise.\n\n\n\n\nYou Are Someone Who:  \n\n\n* Has a passion for code quality and craftsmanship.\n\n* Views your profession as your craft and continuously pursues excellence in your work.\n\n* Thrives in a fast-paced, high-growth startup environment.\n\n* Collaborates effectively across various teams, coordinating regularly to set and manage expectations.\n\n\n\n\nYou’ll experience:  \n\n\n* Being a key part of a fast-growing software company where you can make a difference.\n\n* Comprehensive insurance plans.\n\n* Monthly wellness allowance.\n\n* Flexible paid time off & paid volunteer time.\n\n* Learning & development.\n\n* Working in the historic and centrally located Marathon Village in Nashville, TN.\n\n* Participating in team outings, events, and general fun! \n\n* Helping to change an industry by serving the men and women that make our world turn.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior and Mobile jobs that are similar:\n\n $70,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nIn the Senior Data Scientist role, you will have full ownership over the projects you tackle, contribute to solving a wide range of machine learning applications, and find opportunities where data can improve our platform and company. We are looking for an experienced and creative self-starter who executes well and can exhibit exceptional technical know-how and strong business sense to join our team. \n\n\nWHAT YOU'LL DO:\n\n\n* Mine and analyze data from company data stores to drive optimization and improvement of product development, marketing techniques and business strategies\n\n* Assess the effectiveness and accuracy of data sources and data gathering techniques\n\n* Develop and implement data cleansing and processing to evaluate and optimize data quality\n\n* Develop custom data models and algorithms to apply to data sets\n\n* Run complex SQL queries and existing automations to correlate disparate data to identify questions and pull critical information\n\n* Apply statistical analysis and machine learning to uncover new insights and predictive models for our clients\n\n* Develop company A/B testing framework and test model quality\n\n* Collaborate with data engineering and ETL teams to deploy models / algorithms in production environment for operations use\n\n* Develop processes and tools to monitor and analyze model performance and data accuracy\n\n* Ad-hoc analysis and present results in a clear manner\n\n* Create visualizations and storytelling\n\n* Communicate Statistical Analysis and Machine Learning Models to Executives and Clients\n\n* Create and manage APIs\n\n\n\n\nWHO YOU ARE:\n\n\n* 3-5+ years of relevant work experience\n\n* Extensive knowledge of Python and R\n\n* Clear understanding of various analytical functions (median, rank, etc.) and how to use them on data sets\n\n* Expertise in mathematics, statistics, correlation, data mining and predictive analysis\n\n* Experience with deep statistical insights and machine learning ( Bayesian, clustering, etc.)\n\n* Familiarity with AWS Cloud Computing including: EC2, S3, EMR.\n\n* Familiarity with Geospatial Analysis/GIS\n\n* Other experience with programming languages such as Java, Scala and/or C#\n\n* Proficiency using query languages such as SQL, Hive, and Presto\n\n* Familiarity with BDE (Spark/pyspark, MapReduce, or Hadoop)\n\n* Familiarity with software development tools and platforms (Git, Linux, etc.)\n\n* Proven ability to drive business results with data-based insights\n\n* Self-initiative and an entrepreneurial mindset\n\n* Strong communication skills\n\n* Passion for data\n\n\n\n\nWHAT WE OFFER:\n\n\n* Competitive Salary\n\n* Medical, Dental and Vision\n\n* 15 Days of PTO (Paid Time Off)\n\n* Lunch provided 2x a week \n\n* Snacks, snacks, snacks!\n\n* Casual dress code\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Cloud, Python, Scala, Marketing and Non Tech jobs that are similar:\n\n $70,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWe are looking for a Senior Data Scientist to leverage machine learning across the entire eMoney technology portfolio. You will identify, prototype, and deliver high-impact data driven solutions for our products. You will work with our product and development teams to implement machine learning initiatives, setting data science standards and strategy. This role requires a breadth of technology and communication skills to influence and lead the strategic directions.\n\nJob Responsibilities\n\n\n* Develop key Machine Learning solutions and own the execution pipeline; develop prototypes, implement production models, and work with Product, Ops, and App Development teams to ensure business value is fully realized\n\n* Develop core AI capabilities, e.g., MLAAS, data science architecture, to support machine learning and analytics use cases across all products\n\n* Help set AI and ML strategy across organization, identifying, prioritizing, and capturing high-impact business opportunities for Data Science and AI across entire eMoney portfolio\n\n* Explore new use cases and AI technologies for potential integration into eMoney\n\n* Ensure adoption of ML and Data Scientific approaches, providing guidance and internal consulting to software engineers, business owners, other data scientists\n\n\n\n\nRequirements\n\n\n* 2 years working in a data science role\n\n* 4 years of software development experience\n\n* Master’s degree in related field or equivalent years of related experience\n\n* Experience with a variety of Data Science modeling use cases, including customer retention, marketing, digital analytics, segmentation, propensity modeling, etc.\n\n* Experience with data engineering, including consumption of data from relational and non-relational databases, flat files, etc.\n\n* Experience with integration with multiple internal and external systems\n\n* Experience in working in an agile environment to quickly iterate and deliver features to users\n\n* Experience in fintech strongly preferred \n\n\n\n\nSkills\n\n\n* In depth knowledge of software development technologies and best practices for integration with data science: Python, Flask, Django\n\n* In depth knowledge of machine learning technologies: Spark, scikit-learn, deep learning frameworks (e.g., Tensorflow, PyTorch), computer vision, NLP (e.g., SpaCy, NLTK)\n\n* Strong written and verbal communication skills, ability to work with remote team members in virtual communication channels\n\n* Demonstrated ability to influence, communicate and lead technology and design decisions\n\n* Demonstrated abilities to communicate technology and product needs between product and engineering teams \n\n\n\n\n\neMoney Advisor is the creator of the leading wealth-planning technology for financial professionals and firms, offering the cutting-edge solutions needed to succeed as the regulatory environment shifts, investor expectations change, and the industry landscape becomes increasingly competitive. Not only do our solutions help financial professionals streamline their workflow and add efficiency to their business, they also — more importantly – create an unmatched, interactive client experience that builds trust and strengthens the advisor-client relationship. Though we’re driven to lead through innovation, the defining principle of eMoney’s existence will always remain the same: an unwavering dedication to helping advisors and their clients succeed. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science and Senior jobs that are similar:\n\n $70,000 — $127,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members. We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. We’re looking for a deep learning expert to help our data science and engineering teams build models in support of the newsfeed, combining metadata from our clinician social graph with text-based features.\n\n**How you’ll make an impact:**\n\n* Apply NLP methods and build deep neural networks to personalize medical content to our clinician members.\n* Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.\n* Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.\n* Provide technical leadership to other data scientists and data engineers working on the newsfeed product.\n\n**What we’re looking for:**\n\n* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n* Experience building deep neural networks in support of recommendation systems.\n* Solid engineering skills to build scalable solutions and help automate data processing challenges.\n* Desire to provide technical leadership and mentorship to other data team members.\n* Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n* Excellent problem-solving skills and ability to connect data science work to product impacts.\n* Fluent in SQL and Python; experience using Apache Spark (pyspark).\n* Experience working with relational and non-relational databases.\n\n**Nice to have:**\n* Experience applying reinforcement learning to industry problems.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*\n\n \n\n# Requirements\n\nUse apply button \n\nPlease mention the words **EXCHANGE OSTRICH MASS** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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 similar jobs related to Data Science, Senior, Medical and Apache jobs that are similar:\n\n $80,000 — $125,000/year\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\n**How you’ll make an impact:**\n\n* Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.\n* Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n* Discover trends and new business opportunities from physician’s medical claims and referral networks.\n* Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\n**What we’re looking for:**\n\n* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n* Experience applying graph theory, analytics, and processing to industry problems.\n* Solid engineering skills to build scalable solutions and help automate data processing challenges.\n* Desire to provide technical leadership and mentorship to other data team members.\n* Excellent problem-solving skills and ability to connect data science work to product impacts.\n* Fluent in SQL and Python; experience using Apache Spark (pyspark)\n* Experience working with relational and non-relational databases.\n\n**Nice to have:**\n\n* Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button \n\nPlease mention the words **MOTHER SAY MUSIC** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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 similar jobs related to Data Science, Senior, Stats, Medical and Apache jobs that are similar:\n\n $80,000 — $125,000/year\n

\nJob title\n\n\n\nGlobal Data and Analytics – Data Scientist\n\n\n\n\n\nReports to\n\n\n\nGlobal Data and Analytics – Director / Senior Data Scientist\n\n\n\n\n\nBusiness Group\n\n\n\nStrategy\n\n\n\n\n\nLocation\n\n\n\nAmsterdam, Schiphol-Rijk – The Netherlands or London - UK\n\n\n\n\n\n This vacancy is being managed exclusively by RBW Consulting \n\nJob purpose\n\n Liberty Global is elevating the business intelligence and data asset capability across all business domains and operating countries as a pillar to improve business performance and better predict the business going forward. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products, improve customer’s experience and create technological advancement within the company . Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.\n\n Key responsibilities\n\n Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements\n\n\n* Transform large, complex data sets into pragmatic, actionable insights.\n\n* Apply state-of-the-art analytical methods like Machine Learning, Pattern Recognition, Neural Networking, Pattern Recognition, Recommendation algorithms to solve business problems and optimise outcomes.\n\n* Research and develop approaches on how to improve business processes and improve customers’ experience, by using our vast amounts of data.\n\n* Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions.\n\n* Partner with data engineering teams to improve data as an asset of the business.\n\n* Participate in detailed product analysis, customer segmentation, lifetime value analysis, base management, market mix modelling etc to drive insights, targeted strategies and communication.\n\n* Develop internal A/B testing procedures to determine the effectives of different approaches.\n\n* Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.\n\n* Build key data sets to empower operational and exploratory analysis.\n\n* Build and analyse key dashboards and reports.\n\n\n\n\n\n Qualifications\n\n\n\n* The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies)\n\n* 2+ years work experience\n\n* Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive)\n\n* Strong experience in statistical packages including R, Python(sckit-learn, pandas), etc\n\n* Knowledge of mathematical and statistical model, in one or more of the following areas: logistic regression, pattern recognition, Neural Networks, Graph theory, machine learning approaches, optimisation routines, recommendation algorithms, predictive modelling.\n\n* Experience in data presentation tools including D3, bokeh, Tableau, Qlik.\n\n* Experience of using data to drive commercial and actionable insights for the business.\n\n* Preferably, the candidate has experience in statistical models applied to telecommunication and media, such as network optimization and churn modelling\n\n* A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.\n\n* Fluent in both written and spoken English\n\n* Good interpersonal and communication skills\n\n* Team player\n\n\n\n\n\n Working environment\n\n\n\n* A constantly changing, fast moving, dynamic environment\n\n* Flexible working required\n\n* Work in an international and multicultural team\n\n* Some travel through Europe is expected\n\n\n\n\n\n This role is being managed exclusively by RBW Consulting.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Travel, Senior and Non Tech jobs that are similar:\n\n $65,000 — $112,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members. We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. We’re looking for a deep learning expert to help our data science and engineering teams build models in support of the newsfeed, combining metadata from our clinician social graph with text-based features.\n\nHow you’ll make an impact:\n\n-Apply NLP methods and build deep neural networks to personalize medical content to our clinician -members.\n-Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.\n-Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.\n-Provide technical leadership to other data scientists and data engineers working on the newsfeed product.\n\nWhat we’re looking for:\n\n-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n-Experience building deep neural networks in support of recommendation systems.\n-Solid engineering skills to build scalable solutions and help automate data processing challenges.\n-Desire to provide technical leadership and mentorship to other data team members.\n-Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n-Excellent problem-solving skills and ability to connect data science work to product impacts.\n-Fluent in SQL and Python; experience using Apache Spark (pyspark).\n-Experience working with relational and non-relational databases.\n\nNice to have:\n\n-Experience applying reinforcement learning to industry problems.\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nPlease mention the words **TRIM MUFFIN LIGHT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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 similar jobs related to Python, Machine Learning, Data Science, Senior, Medical and Apache jobs that are similar:\n\n $80,000 — $127,500/year\n

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\nHow you’ll make an impact:\n\n-Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.\n-Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n-Discover trends and new business opportunities from physician’s medical claims and referral networks.\n-Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\nWhat we’re looking for:\n\n-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n-Experience applying graph theory, analytics, and processing to industry problems.\n-Solid engineering skills to build scalable solutions and help automate data processing challenges.\n-Desire to provide technical leadership and mentorship to other data team members.\n-Excellent problem-solving skills and ability to connect data science work to product impacts.\n-Fluent in SQL and Python; experience using Apache Spark (pyspark)\n-Experience working with relational and non-relational databases.\n\nNice to have:\n\n-Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nPlease mention the words **SKIN PROUD MAJOR** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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 similar jobs related to Python, Machine Learning, Data Science, Senior, Stats, Medical and Apache jobs that are similar:\n\n $80,000 — $125,000/year\n

\n About the Role:\n\nAdRoll’s Attribution Team is seeking a Senior Data Science Engineer to develop a statistic multi-touch attribution pipeline designed to clearly analyze the value of a client’s various marketing channels.\n\nThis is not a project where you will inherit a sprawling legacy code base that will tie your hands. Instead you will be joining a ground floor effort driven by a team of engineers tasked with solving challenging technical and mathematical problems that are of paramount importance to the company’s future. You will be tasked with architecting, collaborating and implementing solutions to technical problems that will put you in a position to learn and grow.\n\nYour mission will be to research, imagine, analyze, and ultimately build out methodologies for determining which marketing channels are having what effect on client purchase statistics. You will be the first data scientist hired specifically for this purpose, and thereby we are counting on you to design our approach to the unique problems at hand. You will do extensive research of existing methodologies and various practices employed by others in order to understand some of the inherent wider problems in this particular problem set. You will work with our extensive internal analytical toolset to vet various theories. You will collaborate with our broader data science team and actively seek their consultation as you hone your strategies. If you are an experienced data scientist with an in depth knowledge of statistics, then you will be a great fit for this position.\n\n\nAt AdRoll Engineering, we value the freedom and autonomy we give to our employees and urge everyone to use a multitude of different technologies based on their interests. In this position, you have the chance to create, build, and own complex modeling pipelines.\n\n\nResponsibilities:\n\n\n* Research key concepts around statistical multi-touch attribution\n\n* Work actively with existing datasci team members to understand their tech stack and toolset, and craft your own solutions\n\n* Validate hypotheses through rigorous analysis and testing\n\n* Work alongside our senior backend engineering team to realize your approaches in our production environment\n\n* Mentor, teach, hire, and share your knowledge to make our datasci and engineering teams stronger\n\n\n\n\nQualifications:\n\n\n* MS in Statistics\n\n* 5+ years working in datasci/analytics\n\n* Experience with big data processing pipelines\n\n* Familiarity or interest in Python, Docker, and AWS\n\n\n\n\nBonus Points:\n\n\n* Experience in the adtech industry\n\n* Experience building automated experiment testing pipelines\n\n\n\n\nCompensation:\n\n\n* Competitive salary and equity\n\n* Medical / Dental / Vision benefits\n\n* Paid time off and generous holiday schedule\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, Senior, Marketing and Backend jobs that are similar:\n\n $65,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWith local presence in 150 countries, north of 30 billion SEK in annual turnover and more than one Terabyte of machine data generated every second, Sandvik Machining Solutions is a world leader in engineering solutions the manufacturing industry. With its brand recognition and global reach, Sandvik aspires to help its 250 000 industrial customers embrace digital transformation, at scale, globally. To do so, it created CODE.\n\nCODE is a new, bold take on industrial digitization, tasked with the mission to design, build and deploy innovative, digital-first solutions to help solve the most important challenges Sandvik’s customers face across all of manufacturing. CODE is uniquely positioned to combine Sandvik’s deep industrial expertise with cutting-edge advances in machine learning, artificial intelligence and digital user experiences to create compelling, customer centric solutions to big problems.\n\nJob description\n\nWe’re looking for a senior data scientist to join us at Sandvik CODE as we strive toward shaping the way industrial companies take on digital transformation. Together with a dynamic team of experienced product managers, designers and engineers, you will work in close collaboration with our customers – all over the world – to identify, prototype and build compelling and purposeful use cases through machine learning, artificial intelligence and data mining.\n\nAs a team, we are deeply committed to transform the way Sandvik approaches digital solutions to hard problems. We view integrity, openness and accountability as cornerstones to our ability to deliver value in both the short and long term. Our operational model is rooted in design thinking, and we work closely with customers, partners and internal Sandvik teams to ideate, prototype and iterate concepts at a rapid pace. We exponentially scale only the solutions we can prove to drive substantial value creation for our customers. Nothing else matters.\n\nResponsibilities\n\n\n* Work with our executives, product managers, engineers and designers to identify and map out the most purposeful use cases for data science, machine learning and artificial intelligence inside Sandvik Machining Solutions\n\n* Work with Sandvik’s engineering teams to design and develop conceptual models and derive best practices for integrating data science into existing and new products and services\n\n* Prototype, validate and iterate data science-driven use cases across all of Sandvik’s strategic focus areas, including additive manufacturing (3D printing), metal cutting, logistics and planning, and cross-team collaboration\n\n\n\n\nSkills & Qualifications\n\nRequired\n\n\n* MSc. or PhD in Computer Science, Mathematics, Electrical Engineering or equivalent field\n\n* Strong, fundamental understanding of probability theory, signal processing and time series analysis, multinomial regression models and multi-class classification models\n\n* At least 4 years of experience designing, building and deploying data science solutions in a professional environment\n\n* Extensive experience producing production grade solutions using programming languages and frameworks for scientific computing, such as Python, R, Scala, Matlab or equivalent\n\n* Extensive experience in packaging, organizing and documenting data science-based solutions to enable integrations with external software systems\n\n* Extensive Experience working with machine learning frameworks such as Theano, Torch, Caffe, TensorFlow or equivalent\n\n* Experience working with visualization tools such as Matplotlib (Python), Zeppelin (Spark), or GGPlot2 (R) or equivalent\n\n* Extensive Experience working with relational databases, such as PostgreSQL and NoSQL databases, such as Apache Cassandra or equivalent\n\n* Experience with large, distributed file systems and data stores, such as Hadoop HDFS or equivalent\n\n\n\n\nPreferred\n\n\n* Experience working with web-based visualization tools such as D3.js or dygraphs\n\n* Experience working with Apache Spark and its related technologies, including SparkSQL and DataFrames\n\n* Familiarity with real-time streaming brokers, such as Kafka\n\n* Familiarity with graph databases, such as Neo4j, and their applications\n\n\n\n\nWe are a company with an open-minded culture, actively working to create a workplace that is characterized by diversity and inclusion. As our team at Sandvik CODE are truly international, we expect you to have excellent communication skills in English.\n\nBenefits of working for Sandvik in Stockholm, Sweden\n\n\n* 5-6 weeks’ paid vacation.\n\n* Flexible working hours.\n\n* Company pension scheme.\n\n* Paid Parental Leave after 1 years’ employment.\n\n* Performance-related bonus scheme.\n\n* Pay for your Stockholm subway travel card through monthly salary deduction.\n\n* After 1 years’ employment, you can choose between 3 days’ extra vacation, an additional annual pension contribution or a lump sum paid out simultaneously with your regular monthly salary.\n\n* Work in a world class innovation environment in the heart of Stockholm.\n\n* Subsidized healthcare and life insurance.\n\n* Subsidized gym membership.\n\n* Social Activities – socialize with other Sandvik employees through theme nights, activities and days out.\n\n\n\n\nContact information\n\nFor further information about this position, please contact:\nHugo Nordell, Recruiting Manager, +46 (0)26 266 242\n\nUnion contacts\n\nThomas Lilja, Unionen, +46 (0)70 261 04 82\nAnna Åkesson, Akademikerföreningen, +46 (0)70 642 83 29\n\nAs we have an ongoing selection process for this position, we’d like you to send us your application as soon as possible. Please showcase your skills by adding your StackOverflow or GitHub profile in your application.\n\nRecruitment Specialist\nRenée Nordström \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Developer, Digital Nomad, NoSQL, Travel, Senior, Apache, Cassandra and Non Tech jobs that are similar:\n\n $70,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Doximity is the leading online medical network with over 70% of U.S. doctors as members. We have strong revenues, profits, real market traction, and we’re putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Launched by Jeff Tangney in 2011; Jeff previously founded healthcare pioneer Epocrates (NASDAQ: EPOC). Our beautiful offices are located in SoMa San Francisco.\n##Skills & Requirements\n- 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n- 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, deep learning) and parameters that affect their performance.\n- Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n- Experience with recommendation algorithms and strong knowledge of machine learning concepts.\nSolid engineering skills to build scalable solutions and help automate data processing challenges.\n- Excellent problem-solving skills and ability to connect data science work to product impacts.\n- Fluent in SQL and Python; experience using Apache Spark (pyspark) and working with both relational and non-relational databases.\n- Familiarity with AWS, Redshift.\n\n##What you can expect\n- Employ scalable statistical methods and NLP methods to develop machine learning models at scale, owning them from inception to business impact.\n- Leverage knowledge of recommendation algorithms to increase user engagement through personalization of delivered content.\n- Plan, engineer and measure outcomes of online experiments to help guide product development.\n- Collaborate with a team of product managers, analysts, data engineers, data scientists, and other developers.\n- Think creatively and outside of the box. The ability to implement and test your ideas quickly is crucial.\n\n##Technical Stack\n- We historically favor Python and MySQL, but leverage other tools when appropriate for the job at hand.\n- Machine learning (linear/logistic regression, ensemble-models, boosted-models, clustering, NLP, text categorization, user modeling, collaborative filtering, etc) via industry-standard packages (sklearn, nltk, -Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).\n- A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.\n- Storage solutions: Percona, Redshift, S3, HDFS, Hive, neo4j.\n- Computational resources: EC2, Spark.\n- Workflow management: Airflow.\n\n##Fun facts about the Data Science team\n- We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections.\n- We build code that addresses user needs, solves business problems, and streamlines internal processes.\n- The members of our team bring a diverse set of technical and cultural backgrounds.\n- Business decisions at Doximity are driven by our data, analyses, and insights.\n- Hundreds of thousands of healthcare professionals will utilize the products you build.\n- A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.\n- We like to have fun - company outings, team lunches, and happy hours! \n\nPlease mention the words **LIFE DISAGREE TREND** when applying to show you read the job post completely (#RMjE2LjczLjIxNi42Mw==). This is a 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 similar jobs related to Python, Machine Learning, Data Science, Senior, Apache, Medical and Engineer jobs that are similar:\n\n $80,000 — $125,000/year\n

\nAbout the Role:\n\nThe Data Science Engineering (DSE) team is responsible for the economics of AdRoll’s core product. Our in-house machine learning frameworks run over hundreds of terabytes of data daily, ensuring our pricing engine stays fresh and accurate as it bids on billions of ad opportunities. DSE Infrastructure members have a passion for technology and mathematics, keeping our machine learning and analysis pipelines humming at petabyte scales.\n\nAdRoll engineers are afforded significant autonomy. DSE Infrastructure engineers design their systems as they see fit, own their code, enable analysts to dive deep with ease, and ensure our hungry machine learning algorithms are fed. DSE Infrastructure engineers work on a variety of projects with data from disparate sources, but all at large scale.\n\nResponsibilities:\n\n\n* Create systems that monitor dataflow on a real-time basis\n\n* Design pipelines that generate predictive models for a variety of signals and tasks\n\n* Architect systems that crunch data and provide queryable interfaces for stakeholders\n\n* Ensure signals robustly make it to online prediction tasks in real-time\n\n* Integrate with external data sources to feed into existing datasets\n\n* Engineer data formats that help answer analysis questions efficiently\n\n\n\n\nQualifications:\n\n\n* BS in Computer Science or Computer Engineering\n\n* 3+ years experience with C, C++, Java, or other performant language\n\n* Experience with manipulating large datasets\n\n* Ability to architect scalable, high performance systems\n\n* Experience in distributed computing frameworks and paradigms\n\n* Enthusiasm to work in a fast-paced engineering team\n\n\n\n\nBonus Points:\n\n\n* Working knowledge of machine learning and statistics\n\n* Understanding of online ad industry\n\n\n\n\nCompensation:\n\n\n* Competitive salary and equity\n\n* Medical / Dental / Vision benefits\n\n* Paid time off and generous holiday schedule\n\n* The opportunity to win the coveted Golden Bagel award\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior and Engineer jobs that are similar:\n\n $80,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n