We’re a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWe’re seeking a Developer Advocate to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n- Craft blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n- Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n- Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n- Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n- Lead community-building events like virtual meetups and present at relevant industry conferences\n- Be analytical and data-driven in creating useful content for the community. Define, report and analyze metrics to understand our community’s needs and interests.\n\n## Skills we’re looking for\n- Experience in either data science or open source software.\n- Experience blogging or publishing technical content online. Bonus points if it’s related to open source or data science. \n- Experience building and/or managing a technical community.\n- Understanding of Git, Git-flow and CI/CD. You don’t have to be a superuser, but we make tools built around Git and you’ll need to know how to use them.\n- Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital - platforms kindly and clearly.\n- Proficient written and spoken English is required. \n \n### Mega bonus skills\n- Knowledge of our tools and the MLOps space\n- A strong existing network in data science or open source\n\n### Perks\n- A fully remote job with a competitive salary and benefits package.\n- Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n- This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n- Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n- You will get a [DeeVee](https://twitter.com/DVCorg/status/1314668966082572288/photo/1). \n\nPlease mention the words **BUILD CRUISE ARMOR** when applying to show you read the job post completely (#RMy4xNDguMjMyLjEyMw==). 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\nWorldwide

Are you excited about building a team that’s laser focused on guiding customers (from the world’s largest brands to “mom-and-pop” sellers) in their most critical business decisions by leveraging one of the largest ecommerce data sets in the world? \n\nDo you get excited about building systems that process over 30 TB of raw data per day? \n\nAre you passionate about building cloud-native data systems that empower data scientists to build and deploy business critical machine learning models at scale?\n\nAmazing, then you’re the type of person we’re looking for!\n\nJungle Scout just raised $110M and we’re growing rapidly. We’re looking for a passionate engineering leader to join us during our most exciting phase of growth that will lead our Data Services group, focused on building cloud-native data systems that empower the entire engineering organization to build data-driven applications and predictive machine learning models.\n\nThis is a special opportunity and we’re looking for a special person. We move really fast and expect our leaders to not just keep up, but to set the pace. We do things differently. We have zero time for politics and look for the best ideas regardless of their source. We love the fact that each day is a little unpredictable and we revel in the ambiguity. We’re remote-first and committed to hiring the best talent anywhere in the world. We’re grateful to be working in a rapidly changing space and find joy in solving customer problems together as they arise.\n\n**In your first year you will:**\n\n* Drive vision and strategy for building Jungle Scout’s Data Infrastructure team and charter, which is at the foundation of Jungle Scout’s overall business strategy and competitive advantage\n* Build, manage, and lead data science teams that are solving Jungle Scout’s most complex business problems\n* Collaborate with data science teams and engineering leaders to build data systems that are at the foundation of Jungle Scout’s customer applications\n* Build a cloud-native Data Lake that makes critical data available to entire engineering organization through a variety of interfaces and technologies\n* Lead the business strategy and vision for widening Jungle Scout’s “data moat”, which delivers industry leading data analytics and automation for the world’s largest ecommerce retailers\n* Build an organization that provides thought leadership to ensure Jungle Scout is leading the industry with proprietary data sources and data insights, delivering unprecedented value for customers\n* Attract top talent and retain your managers and engineers through effective coaching and career growth\n\nInterested in learning more? Let’s get into the details:\n\n**What you’ll be doing:**\n\n* Cloud-native data architecture. Experience building scalable cloud based data systems that scale seamlessly to support the world’s largest brands.\n* Passion for complex data systems. Ability to build complex data systems that collect, integration, analyze, and aggregate data from many disparate sources.\n* Empower advanced data analytics. Self-starter with a passion for empowering applied mathematicians to build predictive models that leverage data to provide revolutionary insights for customers.\n * Experience with industry leading data technologies. Passionate about keeping on the cutting edge of the latest data technologies including stream data processing, Spark, Hive catalogs, and more.\n* Provide data leadership. Help define how we collect, process and expose the data we collect to both internal and external customers.\n* Lead and develop teams. Provide clear direction, define success and enable your managers, leads and individual contributors to do their best work. \n* Collaborate. Communicate and collaborate with other engineering leaders to improve the engineering organization. \n* Manage Relationships. Manage relationships and partnerships with our key data providers and work with external agencies to help increase the rate at which we collect, process and enable data.\n\n**Who you are:**\n\n* Operational excellence. Your core responsibility is operational excellence and oversight on the roadmaps for the teams you work with, empowering all of your team leads, and helping make faster decisions on staffing, budgeting, prioritization, personnel management, etc.\n* A multiplier. You're able to multiply your effectiveness by guiding and influencing your team leads to maximize their productivity and impact.\n* Collaborator and communicator. You excel at managing projects across different teams. You're able to prioritize and manage dependencies and expectations of multiple stakeholders effectively and efficiently.\n* An engineer at heart. Although you won’t be judged on your coding ability you will be regularly involved in system design conversations so a background in software development is required. \n* A visionary. We’re still just getting started so you have the opportunity to shape our data strategy as we continue to grow.\n\n**Working at Jungle Scout**\nhttps://www.junglescout.com/jobs/ \n* The BEST team. \n* Remote-first culture.\n* International Retreats.\n* Access to Jungle Scout tools & experts.\n* Performance Bonus. \n* Flexible Vacation.\n* Comprehensive Health Benefits & Retirement Program (US and Canada) \n\n**We prioritize Diversity, Equity, and Inclusion \n**\nAt Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. \n\nJungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n*All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.* \n\nPlease mention the words **CUPBOARD SCHEME MODIFY** when applying to show you read the job post completely (#RMy4xNDguMjMyLjEyMw==). 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 — $200,000/year\n \n\n#Location\nNorth America and South America

We’re a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ?). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWe’re seeking a **Technical Community Manager** to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n\n* Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n* Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n* Make blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n* Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n* Lead community-building events like virtual meetups and our ambassador program. \n* Be analytical and data-driven in building and nurturing the community. Define, report and analyze metrics to understand our community’s needs and growth. \n\n\n## Skills we’re looking for\n* Experience in either **data science or open source software**.\n* Experience building and/or managing a ** technical community**.\n* Understanding of Git, Git-flow and CI/CD. You don’t have to be a superuser, but we make tools built around Git and you’ll need to know how to use them.\n* Experience blogging or publishing technical content online. Bonus points if it’s related to open source or data science. \n* Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital platforms kindly and clearly.\n* Proficient written and spoken English is required. \n \n**Mega bonus skills**\n* Knowledge of our tools and the MLOps space\n* A strong existing network in data science or open source\n\n## Perks\n* A fully remote job with a competitive salary and benefits package.\n* Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n* This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n* Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n* You will get a DeeVee.\n\n \n\nPlease mention the words **GRASS EXCESS UNVEIL** when applying to show you read the job post completely (#RMy4xNDguMjMyLjEyMw==). 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\nWorldwide

\nAt Noom, we use scientifically proven methods to help our users create healthier lifestyles, and manage important conditions like Type-II Diabetes, Obesity, and Hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical and UX problems on our mobile apps that center around habits, behavior, and lifestyle.\n\nWe are looking for a Data Scientist to join our Data team and help us ensure that we apply the best approaches to data analysis and research, artificial intelligence, and machine learning.\n\nWhat You’ll Like About Us\n\n\n* We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.\n\n* We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.\n\n* We are a data-driven company through and through.\n\n* We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.\n\n* We offer a generous budget for personal development expenses like training courses, conferences, and books.\n\n* You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.\n\n* Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.\n\n\n\n\nWhat We’ll Like About You\n\n\n* You have 4+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.\n\n* You have a superior knowledge of statistical analysis methods, such as input selection,  logistic and standard regression, random forests, etc.\n\n* You have extensive experience with pandas, numpy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus\n\n* You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.\n\n* You are comfortable with at least “medium data” technologies and how to transcend the “memory bound” nature of most analytics tools.\n\n* You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.\n\n* You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Executive, Stats, Mobile and Medical 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

\nAt Noom, we use scientifically proven methods to help our users create healthier lifestyles, and manage important conditions like Type-II Diabetes, Obesity, and Hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical and UX problems on our mobile apps that center around habits, behavior, and lifestyle.\n\nWe are looking for a Data Scientist to join our Data team and help us ensure that we apply the best approaches to data analysis and research, artificial intelligence, and machine learning.\n\nWhat You’ll Like About Us\n\n\n* We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.\n\n* We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.\n\n* We are a data-driven company through and through.\n\n* We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.\n\n* We offer a generous budget for personal development expenses like training courses, conferences, and books.\n\n* You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.\n\n* Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.\n\n\n\n\nWhat We’ll Like About You\n\n\n* You have 4+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.\n\n* You have a superior knowledge of statistical analysis methods, such as input selection,  logistic and standard regression, random forests, etc.\n\n* You have extensive experience with pandas, numpy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus\n\n* You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.\n\n* You are comfortable with at least “medium data” technologies and how to transcend the “memory bound” nature of most analytics tools.\n\n* You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.\n\n* You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Executive, Stats, Mobile and Medical 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

The role: The successful candidate will need the ability to contribute and take ownership on a variety of challenges associated with the backend development. They will be working closely with our small and passionate in-house product development team who focus in different areas including: product design, data science, bio-sensing, IoT and audio systems. The Backend Developer role involves taking features from conceptualisation and prototyping through to production and maintenance, it will ideally suit someone with broad production experience using Ruby on Rails/ Dockers/ PostgreSQL and Python. Ruby/Rails will be the most important area of experience for this role. We expect the candidate to be able to bring their expertise for designing for maintainability, reliability and scalability to the fore. The role suits a candidate who has excellent existing backend technology knowledge but also maintains a thirst for expanding their expertise, can concisely communicate their ideas to cross-functional team members and can balance their workload to effectively meet the needs of the business. We are considering remote workers for the role, so ability to do this effectively is important.\n\nA bit about the backend: The backend manages all audio, bio-sensor and usage data, sensor data processing and (ML based) algorithms, personalised audio recommendation system and is used for ongoing data science and research purposes. Ruby on Rails is used for the main backend app.\n\nAbout the Company:\n\nKokoon Tech is an award winning, venture capital backed, health and wellness start-up based in London with a mission to help the world relax and sleep better. Kokoon Tech are doing this by gaining a uniquely deep understanding of the link between relaxation/sleep and audio content. Their apps, associated backend systems and sensor-enabled products provide adaptive audio content and coaching clinically shown to induce and protect relaxation. After shipping their first headphone product in 2018 they have shipped over 27,000 units to over 50 countries. \n\nBenefits\n• Competitive salary\n• Generous share option \n• Pension scheme\n• Friendly/dynamic team\n \n\n# Requirements\nRole experience requirements:\n• 5+ years professional Backend Development experience with Ruby on Rails.\n• Active Admin\n• PostgreSQL\n• Containerisation (Docker)\n• Data migration and analysis\n• Sidekiq job scheduling (or equivalent)\n• Python \n• RSpec and preparing Integration and end-to-end tests (or equivalent)\n• System monitoring tools (such as New Relic/Airbrake)\n• Degree in Software/Computer Science (or similar technical/engineering degree) or proven experience in development and design of backend applications.\n• Full software development lifecycle experience from design phase through to production and maintenance.\n• Good understanding of design patterns\n• Excellent professional skills.\n• Experience with Github SCM\n\nDesirable skills/experience include\n• DevOps\n• Machine Learning\n• Data Science \n\nPlease mention the words **INPUT HAIR OUTER** when applying to show you read the job post completely (#RMy4xNDguMjMyLjEyMw==). 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, Ruby, Data Science, Backend, Executive, Developer and Digital Nomad jobs that are similar:\n\n $70,000 — $130,000/year\n \n\n#Location\nEurope

\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* At least 5 years of experience as a Data Scientist.\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours (8am - 7pm ET, including 1 hour break).\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Executive, Finance, Cloud and Apache 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

\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* At least 5 years of experience as a Data Scientist.\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Executive, Finance, Cloud and Apache 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

\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* At least 5 years of experience as a Data Scientist.\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Executive, Finance, Cloud and Apache 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

\nAre you a driven and inquisitive data science leader? Do you love finding insights in large, unique datasets? Want to play a crucial role at a dynamic company that’s improving healthcare for patients across the country?\n\nJoin ZocDoc as the manager of our Data Science team! As a leader of this high-performing team, you’ll lead development of deep insights for our business units to execute as we continue to grow, and have a tremendous impact on the success of a game-changing company.\n\nWhat you’ll do:\n\n\n* Partner with the leadership team to identify and execute on high-impact opportunities to leverage our extensive data, and integrate Data Scientists into department and product roadmaps\n\n* Lead a team of high performing data scientists, reaching across multiple functions (e.g. Product Management and Data Engineering) to implement models into production\n\n* Present to high-level business stakeholders stories that tell cohesive, logical stories about the value and uses of Data Science\n\n\n\n\nWhat’s required:\n\n\n* 2+ years of experience managing a high-performing Data Science team. It's a plus if that Data Science team contributed to product development.\n\n* Expertise working with large, complex SQL and NoSQL database infrastructure\n\n* Solid understanding of statistics and common machine learning techniques\n\n* A Master's degree in statistics, math, engineering, physical sciences, computer science, or another quantitative discipline\n\n\n\n\nWhat you’ll get:\n\n\n* A home at our award-wining NYC workplace\n\n* 100% employer-covered health insurance\n\n* A competitive salary and stock options\n\n* Catered lunch every day\n\n* The chance to create a better healthcare experience for millions of patients!\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, Executive and NoSQL 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