**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\nReady for your next adventure?\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**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**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**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**Perks**\n- 38 days of vacation (incl. public holidays)\n- Dedicated time and budget to spend on your professional development: classes, conferences, books – you decide!\n- Discounts from leading outdoor and cycling brands\n- Flexible working hours and ability to work from anywhere in Europe\n- Three whole-company gatherings per year in beautiful locations\n- Optional “togetherness” trips with your team\n- Costs covered for your co-working space membership or your work from home office\n- The latest devices and equipment to do your best work \n\nPlease mention the word **INPRESSED** when applying to show you read the job post completely (#RMTguMTE4LjE0Ljgx). 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\neurope

At [Recast](https://getrecast.com/), we're building the next generation of media measurement technology. We're scientists and engineers applying cutting-edge techniques to the hardest problems in a multi-hundred-billion dollar market. Every year, billions of dollars are wasted on ineffective and unmeasurable marketing campaigns — Recast helps marketers measure the unmeasurable and save millions of dollars of marketing budget.\n\nWe're hiring a marketing data scientist to work directly with clients and help us build the future of media measurement.\n\n**What you'll do in your first 6 months:**\n\n- Onboard new clients onto Recast's platform and work hand-in-hand with them to set priors, interpret their results, and plan experiments to validate the model.\n- Implement complex statistical analyses of marketing data to help us improve Recast's statistical internals and help clients improve their marketing efficiency.\n- Develop libraries and patterns of analysis that we will use to help clients interpret and make use of their data\n\n**Things you probably have experience in:**\n\n- Deep and complex use of R\n- Bayesian methods, with exposure to Stan\n- Causal inference\n- Marketing data science and media performance measurement\n- Partnering directly with marketers to shape marketing budgets and structure tests\n\n**Things that should excite you that might scare off other folks:**\n\n- Working at the cutting edge of causal inference and computational statistics\n- Working directly with marketers on applying modeling result to marketing strategy\n- Exploring the output of a model with over 30k parameters\n- Contributing directly to product direction and business strategy\n\nWe're looking for our first full-time data scientist that can help us really expand the impact of Recast — this is a great opportunity to participate in pushing the frontier of statistics and building the future of marketing data science.\n\nWhile Recast is officially based in the US, we're a fully remote team (one founder lives in Brooklyn, the other in Mexico City). We can't sponsor visas at this time, unfortunately.\n\nIf this sounds interesting to you, email us with a bit about yourself and any relevant linkedin / github links / resumes at [email protected]. \n\nPlease mention the word **ASSURE** when applying to show you read the job post completely (#RMTguMTE4LjE0Ljgx). 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 $90,000 — $120,000/year\n \n\n#Location\nUnited States

\nHorizon Media’s Performance Media Analytics and Product team is seeking a marketing data scientist who can take a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to the agency’s Performance Media clients. Through technical implementation, optimization, and key solutions, you will produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness and business growth.\n\nHorizon Media’s Performance Media Group comprises of all standard buying activation channels (Search, Social, Programmatic, etc.), and the accompanying analytics and product teams create products and services that drive outcomes for their 70+ clients. The data scientist’s role is to provide the modeling and validation that undergird those products.\n\nResponsibilities \n\n\n* Lead analytics aspects of client engagements in the areas of marketing effectiveness and marketing portfolio management.\n\n* Drive innovation, primarily through developing models and customized measurement techniques to be used in SaaS applications.\n\n* Help merge marketing mix models, multi-touch attribution, and randomized controlled experiments to inform clients on how to best allocate investment.\n\n* Collaborate with clients to build an end-to-end machine learning framework. Engage various stakeholders, assess data readiness. Be able to scale a proof of concept to a larger solution.\n\n* Work with client and internal teams to translate data and model results into tactical and strategic insights that are clear, complete, accurate, relevant, understandable and applicable to decision making and needs for varying client audiences. Co-present to and work with clients to integrate recommendations into business processes.\n\n* Collaborate with Product/Engineering teams to increase and optimize capabilities, employing methods which create opportunities for scale, proactively helping to drive innovation.\n\n* Develop comprehensive understanding of Horizon Media data structures and metrics, advocating for product changes where needed.\n\n\n\n\nMinimum qualifications\n\n\n* Bachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent practical experience.\n\n* 3 years of experience in data science in a professional capacity using statistical modeling, machine learning, forecasting and optimization. A focus on marketing analytics is a plus.\n\n* Experience in Python and/or R.\n\n* Experience in data management systems.\n\n\n\n\nPreferred qualifications\n\n\n* Master’s in Statistics, Computer Science, Engineering, or Mathematics.\n\n* Experience delivering bespoke analytics to stakeholders (problem scoping/definition, modeling, interpretation, presentation).\n\n* Experience with analytic software tools and languages such as SQL, R, TensorFlow, Python, SAS, SPLUS, and Eviews.\n\n* Client vertical experience, including retail, financial services/retail banking, insurance telecommunications, automotive and CPG with experience using or deploying digital analytics and measurement solutions.\n\n* Knowledge of the statistical algorithms typically used in Marketing Analytics.\n\n* Ability to visualize models and results, and debug and troubleshoot code and models.\n\n\n\n\nPhysical Requirements\n\n\n* Brain bending.\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, Python, Marketing, SaaS and Non Tech jobs that are similar:\n\n $70,000 — $110,000/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

# 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\nPlease mention the words **PREDICT SWEET FOREST** when applying to show you read the job post completely (#RMTguMTE4LjE0Ljgx). 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\nEurope, Africa

# 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\nPlease mention the words **INFANT GENIUS SLIM** when applying to show you read the job post completely (#RMTguMTE4LjE0Ljgx). 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\nEurope, Africa

\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 similar jobs related to Data Science, Accounting, DevOps, Crypto, Finance, Node, Golang and Non Tech 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

\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 similar jobs related to Data Science, Cloud, Marketing and Non Tech jobs that are similar:\n\n $67,500 — $110,000/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

\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 similar jobs related to Finance, Data Science, Analyst, Non Tech, Accounting and Microsoft jobs that are similar:\n\n $60,000 — $100,000/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

**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 (#RMTguMTE4LjE0Ljgx). 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

#### 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\nPlease mention the words **DISCOVER ACTION VELVET** when applying to show you read the job post completely (#RMTguMTE4LjE0Ljgx). 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 $100,000 — $120,000/year\n
\n\n#Benefits\n ⏰ Async\n\n
\n\n#Location\nGMT -6 to GMT +1

# 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 (#RMTguMTE4LjE0Ljgx). 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

### 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\nPlease mention the words **TOMORROW ACID BRACKET** when applying to show you read the job post completely (#RMTguMTE4LjE0Ljgx). 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 $20,000 — $70,000/year\n \n\n#Location\nWorldwide

\nStrong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building  statistical models, and generally helping our clients discover value in their data.\n\nAt Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.\n\nWe offer a comprehensive compensation package, including:\n\n\n* Competitive salary\n\n* Profit sharing or equity, based on experience\n\n* Health, dental, vision, and life insurance\n\n* Four weeks paid vacation\n\n* 401k with employer matching\n\n\n\n\nRequirements\n\nCandidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):\n\n\n* Statistical modeling and hypothesis testing\n\n* Applying machine learning to real-world problems\n\n* Writing clean SQL and ETL pipelines\n\n* Building Python applications\n\n* Building deep neural networks with modern tools, such as PyTorch or Tensorflow\n\n* Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)\n\n* Deploying applications into cloud-based infrastructures (e.g., AWS)\n\n* Creating and interacting with RESTful APIs\n\n* Managing *nix servers\n\n* Writing unit tests\n\n* Collaborating via Git\n\n\n\n\nApplicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.\n\nApplicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Python, Travel, Stats and Non Tech 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

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

\nMillions 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, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our 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 12 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\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\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\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\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, a blog or something else\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, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech 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

\nMillions 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, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our 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 12 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\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\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\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\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, a blog or something else\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, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech 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

\nStrong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building  statistical models, and generally helping our clients discover value in their data.\n\nAt Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.\n\nWe offer a comprehensive compensation package, including:\n\n\n* Competitive salary\n\n* Profit sharing or equity, based on experience\n\n* Health insurance\n\n* Four weeks paid vacation\n\n* Work-from-Home Wednesdays\n\n\n\n\nRequirements\n\nCandidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):\n\n\n* Statistical modeling and hypothesis testing\n\n* Applying machine learning to real-world problems\n\n* Writing clean SQL and ETL pipelines\n\n* Building Python applications\n\n* Building deep neural networks with modern tools, such as PyTorch or Tensorflow\n\n* Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)\n\n* Deploying applications into cloud-based infrastructures (e.g., AWS)\n\n* Creating and interacting with RESTful APIs\n\n* Managing *nix servers\n\n* Writing unit tests\n\n* Collaborating via Git\n\n\n\n\nApplicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.\n\nApplicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Python, Travel, Stats and Non Tech 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