Remote Cloud + Data Science + Executive Jobs

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 (#RMjE2LjczLjIxNi4xMDA=). 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

\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

\nDescription\n\nThrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As the Lead of the Data Engineering and Data Science team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering leader with the ability and desire to be both hands-on and lead a team.\n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* A willingness to take on a broad set of responsibilities from working with the product and engineering team to define architecture and infrastructure to supporting our data engineering efforts, building out data pipelines, building and testing models, putting those models into production and refining them as needed. To do this you will need to hire and grow a small team of technologists that complement your skillset and that of the existing team.\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Build a small but skilled team that will leverage data to provide recommendations and nudges to users that encourage them to master positive behavior change.\n\n* Work with the team to design and build out production grade data processing tools and infrastructure. \n\n* Work with the team to define hypotheses, conduct experiments, construct prototypes and build and train models to support the use cases required by our behavior change products. \n\n* Work with the team to put models into production.\n\n* Consider user privacy and security at all times.\n\n\n\n\nDesired Skills\n\n\n* 2+ years experience leading a data engineering, data science, or machine learning team.\n\n* 5+ years of industry experience with data engineering, data science or machine learning.\n\n* Extensive programming experience in Java or Python.\n\n* Experience with AWS SageMaker, TensorFlow, or other cloud frameworks. \n\n* Familiar with various machine learning techniques and libraries.\n\n* BA/BS or MS in Computer Science, or equivalent experience.\n\n* A plus to have working knowledge of Big Data (Hadoop, Cassandra, Spark, Kafka, YARN), real-time and batch processing.\n\n\n\n\nOur Mission\n\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, Executive, Teaching, Java and Cloud jobs that are similar:\n\n $75,000 — $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

\nLocation:  Flexible (Boston, MA or New England region preferred)\n\nPosition available: November 2017\n\nTHE OPPORTUNITY\n\nWe are seeking a Director to join the Organizational  Effectiveness (OE) team.  The OE team ensures that ANet has the right goals that motivate and drive us to achieve our mission, spearheads our shared organizational focus on improving our core service model, and builds a research mindset and capability across ANet’s internal teams. This role reports to the Vice President, Org Effectiveness and is the ideal position for someone who has a passion for growing an organization’s confident use of data in order to shape strategic decisions and to deepen its long-term impact.\n\nANet is flexible to remote working, with occasional travel to ANet’s National Office in Boston. Therefore, proximity to the New England area and/or eastern time zone is preferable.\n\nWHAT YOU’LL DO\n\nExamine our organizational impact on school performance and hone our organizational focus on impacting school practice\n\n\n* Lead organization-wide school and student learning impact reporting against annual goals  \n\n\n\n\n\n\n\n\n\n* Manage complex analyses to extract new insights and year-over-year data patterns that convey a clear, compelling picture of ANet’s national impact over time\n\n* Convey results on goals in a way that is user-friendly and compelling for internal teams  and that can be used for external generalist audiences (i.e. impact statements)\n\n* Leverage strong visualizations and presentations to boost end user (primarily senior leadership & marketing/business development teams) comprehension of national impact results\n\n\n\n\n\n\n\n\n\n* Lead impact analyses that test and improve ANet’s core service model\n\n\n\n\n\n\n\n* Execute organization-wide annual analyses that identify the relationships between state assessment outcomes (student and school performance) and internal practice with inputs data sources (school demographic data, school practice data, partner school survey data, etc.)\n\n* Conduct complex analyses to  extract relevant findings/insights and year-over-year data patterns to share with senior leadership tied to 2020 strategic plan and impact vision\n\n* Partner closely with key business leads to identify annual prioritized research questions, drawing from prior years’ results, annual strategic goals, and ongoing learning agenda priorities\n\n\n\n\n\n\n\n* Lead reporting and analysis of ANet’s evolving non-core service model offerings to assess impact\n\n\n\n\nLead long-cycle learning on ANet’s core service model, primarily via mix of data collection and analytic improvement strategies\n\n\n* Lead data characterization and analyses of newer ANet data sources to deepen ANet’s ability to test and improve its core service model\n\n\n\n\n\n\n\n* Lead exploratory analyses of school partner data to produce new, actionable findings that accelerate improving ANet’s core service model and other service offerings\n\n* In collaboration with other OE team members and internal clients, set key research questions\n\n* Partner with key internal product and program teams to finalize use cases and baseline set definitions, metrics, and modes of analyses\n\n* Define reporting requirements for Engineering team\n\n* Examine and conduct feasibility checks of data in Google Analytics and identify and establish business and analytic rules for using tools such as unSampler\n\n* Explore opportunities with the Engineering team to identify longer-term data storage and cloud solutions\n\n\n\n\n\n\nWHO YOU ARE & WHAT YOU BRING\n\nMust Have:\n\n\n* You have prior experience and success designing and leading internal program evaluations and/or business intelligence projects for scaling organizations.\n\n* You bring proficiency and versatility with Excel and at least one statistical analysis software package (R, SAS, Stata, or SPSS) and are confident in advising others on matching the right analytic tool to the analytic task at hand.\n\n* You are optimistic that all of our schools can be successful if we learn together and that comes through in your facility with analyzing information and communicating complex findings to both technical and non-technical audiences.\n\n\n\n\n\n* You bring proficiency with data visualization software (i.e. Tableau) and website usage analytics and software tools (Google Analytics).\n\n* You are motivated by working in an environment where we live out our core values daily and are eager to examine personal archetypes and biases while discussing topics related to race, class, and privilege which relate to ANet’s Advance Equity and People Matter values\n\n\n\n\nNice to Have:\n\n\n* Prior experience in a school, education, or non-profit setting\n\n* Degree in quantitative field, program evaluation, analytics, or statistics\n\n* Proficiency with unSampler\n\n* SQL proficiency\n\n\n\n\nANet is committed to maximizing the diversity of our organization. We are an equal opportunity employer and encourage individuals of all ethnic and racial backgrounds and gender identities to apply to our positions. \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, Cloud, Travel, Senior and Excel jobs that are similar:\n\n $72,500 — $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