\nAbout the Role:\n\nWe are seeking a Senior Product Manager to work with our API Infrastructure team. In this role, you will play a pivotal role in shaping the future of our API platform, driving the strategy and execution of our technical infrastructure, documentation, and partner-developer tooling that powers integrations with Gusto. You will collaborate closely with cross-functional teams, including engineering, design, and business development, to deliver high-quality APIs that enable seamless interactions and drive business growth.\n\nAbout the Team:\n\n\nGusto Embedded Payroll is our newest business unit, driving the next arc of innovation and growth for Gusto. Our mission is to enable any third party SMB platform to build, sell, and serve payroll, however, they wish. Our API offering allows other companies to offer payroll services to their customers inside their app or service. By creating a more seamless payroll experience for SMBs, we will bring Gusto’s platform to hundreds of thousands more businesses than those we serve directly. Learn more about our partnerships with Chase and Freshbooks, and what we have learned since we started.\n\nHere’s what you’ll do day-to-day:\n\n\n* Drive product development of critical projects from concept to launch, ensuring timely delivery of high-quality products that improve the products of our Embedded partners\n\n* Work with developer teams at our partners to develop a deep understanding of their needs and how to enable them to bring payroll to their customers as quickly as possible\n\n* Partner with Engineering, Design, Data Science, CX, Solution Architects, and other counterparts across Gusto to solve complex cross functional problems\n\n* Identify emerging technologies and industry trends, especially related to developer products (APIs, SDKs, etc.) to push our product experience to the next level\n\n\n\n\nHere’s what we're looking for:\n\n\n* 8+ years experience in product management with a focus on API platforms, infrastructure, or developer tools\n\n* Strong technical background, with a deep understanding of API design principles, RESTful architecture, and web services development\n\n* Excellent communication and stakeholder management skills\n\n* Proven track record of successfully delivering complex technical products, from concept to launch, in a fast-paced, agile environment\n\n* Analytical mindset and proficiency in data-driven decision-making, with experience using metrics and analytics tools to drive product insights and improvements\n\n\n\n\nOur cash compensation amount for this role is targeted at $144,000 to $178,000 in Denver & most major metro locations, and $186,000 to $230,000 for San Francisco, New York, & Seattle. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Payroll, API and Senior jobs that are similar:\n\n $65,000 — $102,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nWant to help us, help others? We’re hiring! \n\nGoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes—for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $25 billion since 2010. Our vision is to become the most helpful place in the world.\n\nJoin us in this pivotal role and be a key player in driving data-driven decision-making and innovation within the GoFundMe/Classy organization.\n\nWe are looking for an experienced and technically skilled individual to lead the team that provides data engineering and analytics functionality for the entire GoFundMe/Classy organization. \n\nThe ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused data engineering leader who will play a key role in continuous improvement for the critical systems that enable our entire business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve the efficiency and quality of strategic business decisions.\n\nThe Job… \n\n\n* Collaborate with stakeholders across the organization to understand their data needs and deliver actionable insights. \n\n* Translate product requirements into engineering work for your team, partnering closely with peers in Product and other disciplines - to make our vision a reality\n\n* Have direct ownership to grow a strategic and emerging part of GoFundMe business to address new and expanding data and AI product opportunities. \n\n*  Lead and manage a team of data engineers and analysts to deliver high-quality data solutions.\n\n* Oversee the design, development, and maintenance of data pipelines and data warehousing solutions.\n\n*  Develop and maintain key product metrics to support business objectives.\n\n*  Implement best practices for data management, including data governance, quality, and security.\n\n* Drive continuous improvement in data engineering practices and processes.\n\n* Mentor and develop team members, fostering a culture of innovation and excellence.\n\n\n\n\nYou… \n\n\n* 7+ years industry experience designing and building distributed data systems,\n\n* 5+ years of experience supporting or managing a business intelligence or analytics team, including employee development and performance management.\n\n*  A track record of recruiting, leading, and growing high performing technical teams in a demanding talent market\n\n* Strong proficiency in SQL and ETL processes.\n\n* Modern data architectures including Data Lake, Data Mesh\n\n*  Experience with data visualization tools such as Tableau, Looker, Quicksight, or similar.\n\n* Proficiency in statistical/machine learning software such as R, Python, SAS, or Matlab.\n\n*  Completed bachelor's degree in Computer Science, Data Science, Statistics, or a related field.\n\n\n\n\nPreferred Qualifications:\n\n\n* 5+ years of experience working with very large data warehousing environments, ideally within a large technology company.\n\n* 10+ years of experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT processes, and reporting/analytic tools.\n\n* Hands-on experience with data structures and SQL coding.\n\n*  Marketing tech/ad tech related experience is a strong plus\n\n* Advanced degree (Master’s or Ph.D.) in a relevant field.\n\n* Strong understanding of cloud-based data solutions (e.g., Snowflake, AWS, Azure, Google Cloud).\n\n* Experience with big data technologies such as Hadoop, Spark, and Kafka.\n\n* Proven ability to translate complex data into actionable insights for non-technical stakeholders.\n\n* Excellent communication skills, both written and verbal, with the ability to present complex information clearly and concisely.\n\n* Demonstrated ability to drive projects from concept to completion with minimal guidance.\n\n\n\n\nWhy you’ll love it here...\n\n\n* Market competitive pay.\n\n* Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee-only plans and 85% for employee + dependent plans) and employer HSA contributions. \n\n* 401(k) retirement plan with company matching.\n\n* Hybrid workplace with fully remote flexibility for many roles.\n\n* Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses.\n\n* A variety of mental and wellness programs to support employees.   \n\n* Generous paid parental leave and family planning stipend.\n\n* Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday.\n\n* Learning & development and recognition programs.\n\n* “Gives Back” Program where employees can nominate a fundraiser every week for a donation from the company.\n\n* Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.\n\n* Employee resource groups.\n\n* Your work has a real purpose and will help change lives on a global scale.\n\n* You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. \n\n* We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose.\n\n* We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!\n\n\n\n\nGoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.\n\nThe total annual salary for this full-time position is $220,000 - $300,000 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process. \n\nIf you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected]. \n\nGlobal Data Privacy Notice for Job Candidates and Applicants:\n\nDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. \n\nDedication to Diversity \n\nGoFundMe and Classy are committed to leveraging Diversity, Equity, Inclusion, and Belonging to cultivate a culture that embraces and supports the unique identities, experiences, and perspectives of our people and customers.\n\nOur diversity recruiting priority is recognized under our first DEIB Driver: Opportunity Foster Diversity - we identify, recruit, and invest in top talent- ensure our people reflect the unique identities, experiences, and perspectives of the communities we serve and are all given the chance to grow.\n\nLearn more about GoFundMe:\n\nWe’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘23 annual report.\n\nOur annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.\n\nFor recent company news and announcements, visit our Newsroom.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Embedded, Recruiter and Senior jobs that are similar:\n\n $50,000 — $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

\nWant to help us, help others? We’re hiring!\n\nGoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes — for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.\n\nJoin us! The GoFundMe team is searching for our next Senior Staff ML Engineer to help design and implement our next generation of machine learning and AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.\n\nThe Job…\n\n\n* Design and develop advanced machine learning models, model evaluation systems, and automated model training and deployment solutions.\n\n* Design and develop high throughput batch inferencing solutions as well as distributed, low latency real-time inferencing services.\n\n* Build efficient and robust systems to collect and prepare data for evaluation and model training.\n\n* Conduct research to identify, evaluate, and build features that improve model performance.\n\n* Evaluate and recommend opportunities to leverage data to grow the business and delight customers. \n\n* Collaborate with technical and nontechnical colleagues, including data scientists, engineers, product managers, and business stakeholders to drive the successful implementation of machine learning projects.\n\n* Coach and mentor other ML engineers and contribute to our culture of learning, innovation, and operational excellence.\n\n\n\n\nYou…\n\n\n* 9+ years of hands-on experience in machine learning, data science, and analytics with a consistent track record of successfully leading complex projects and deploying robust solutions into production environments.\n\n* Extensive knowledge of ML algorithms, including a deep understanding of statistical modeling, and Python development tooling and libraries (Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, Hugging Face Transformers, Tensorflow or PyTorch).\n\n* Experience with LLMs, preferably including commercial solutions such as OpenAI API, Anthropic, AWS Bedrock, or open source models and frameworks like Hugging Face, LangChain, Llama-2, Falcon, Dolly, etc.\n\n* Demonstrated ability to mentor ML engineers, fostering a collaborative and high-performing environment.\n\n* Strong analytical and problem-solving skills, with the ability to apply creative solutions to real-world challenges.\n\n* Comfortable experimenting with and incorporating cutting-edge techniques into our existing system.\n\n* Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.\n\n* A Masters or Ph. D in Computer Science, Statistics, Data Science or related field is preferred.\n\n* Sense of humor (optional but appreciated).\n\n\n\n\nWhy you’ll love it here...\n\n\nMarket competitive pay\n\nRich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions. \n\n401(k) retirement plan with company matching\n\nHybrid workplace with fully remote flexibility for many roles\n\nMonetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses\n\nA variety of  mental and wellness programs to support employees   \n\nGenerous paid parental leave and family planning stipend\n\nSupportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday\n\nLearning & development and recognition programs\n\nGives Back Program where employees can nominate a fundraiser every week for a donation from the company\n\nInclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.\n\nEmployee resource groups\n\nYour work has a real purpose and will help change lives on a global scale.\n\nYou’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. \n\nWe live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose\n\nWe are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!\n\n\n\n\nGoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.\n\nThe total annual salary for this full-time position is $175,000- $240,000 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.\n \n\nIf you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected].\n\nDedication to Diversity \n\nGoFundMe and Classy are committed to leveraging Diversity, Equity, Inclusion, and Belonging to cultivate a culture that embraces and supports the unique identities, experiences, and perspectives of our people and customers.\n\nOur diversity recruiting priority is recognized under our first DEIB Driver: Opportunity Foster Diversity - we identify, recruit, and invest in top talent- ensure our people reflect the unique identities, experiences, and perspectives of the communities we serve and are all given the chance to grow.\n\nGlobal Data Privacy Notice for Job Candidates and Applicants:\n\nDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. \n\nLearn more about GoFundMe:\n\nWe’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘23 annual report.\n\nOur annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.\n\nFor recent company news and announcements, visit our Newsroom. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded, Python, Recruiter, Senior and Engineer jobs that are similar:\n\n $60,000 — $112,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAbout Super.com\n\n\nWe started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.  \n\n\nWe are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.\n\n\nAbout This Role\n\n\nWe are looking for a Data Analyst to join our team. Our new member will work with data about, for example, memberships and financial transactions. You will use data to confidently answer strategic questions and uncover insights that will drive our business strategy and rapid growth. With a strong analytical and data-driven approach, you are apt in quantitative analysis and will use your experience to help our team organize, visualize and make sense of large datasets relating to user behavior. This is an exciting and dynamic opportunity to take ownership in a role as you conduct analyses to find actionable insights, launch and evaluate powerful experiments, and own analytics communications/ relationships while embedded within a cross-functional team.\n\n\n\n\n\n\n\nResponsibilities\n* Data-driven Culture: you will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & results\n* Data Management: you will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders\n* Visualizations: you will help us to perceive our data in a way that makes sense, creating automated dashboards and funnels for various internal teams\n* Hard Questions: your quantitative analysis will be an integral part of helping us to answer the toughest questions in our business, such as: Where can we improve the most? What is the optimum way to segment and track our users and their digital behavior? What can we learn through cohort analyses, regression models, etc? How should we prioritize different A/B tests? When are the results statistically significant? When do we pull the plug?\n\n\n\nAbout You\n* 3-5 years of experience with design and development using modern BI/Analytic tools such as Looker, Snowflake and dbt to serve data to business users for guided and self-service discovery\n* Strong knowledge of SQL with a proven experience to create clean datasets and utilize CASE WHEN statements, transformative functions, and (preferably) Jinja macros\n* Intermediate at Python programming for data analysis/ science\n* Aligned with hyper-growth culture at Super\n* Strong comprehension of financial and customer KPIs\n* Great communication across multiple teams and stakeholders\n* Propensity to learn and dive into the data to find a solution to business problems without direct guidance\n* Enjoyment from working on a team of driven individuals with varying specialities (product, ops, data, engineering) to achieve a common goal\n* Capable of performing analyses of rich datasets to track feature usage and performance, identify potential gaps and opportunities, and communicate recommendations\n* Openness to peer coding reviews\n* Someone with strong curiosity and a keen interest in continued learning and teaching\n\n\n\n\n$100,000 - $140,000 a year\n\nWe Believe in Equal Opportunity \n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\n\nAccommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Senior 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
\n\n#Location\nBoston

\nAbout Super.com\n\n\nWe started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.  \n\n\nWe are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.\n\n\nAbout This Role\n\n\nWe are looking for a Data Analyst to join our team. Our new member will work with data about, for example, memberships and financial transactions. You will use data to confidently answer strategic questions and uncover insights that will drive our business strategy and rapid growth. With a strong analytical and data-driven approach, you are apt in quantitative analysis and will use your experience to help our team organize, visualize and make sense of large datasets relating to user behavior. This is an exciting and dynamic opportunity to take ownership in a role as you conduct analyses to find actionable insights, launch and evaluate powerful experiments, and own analytics communications/ relationships while embedded within a cross-functional team.\n\n\n\n\n\n\n\nResponsibilities\n* Data-driven Culture: you will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & results\n* Data Management: you will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders\n* Visualizations: you will help us to perceive our data in a way that makes sense, creating automated dashboards and funnels for various internal teams\n* Hard Questions: your quantitative analysis will be an integral part of helping us to answer the toughest questions in our business, such as: Where can we improve the most? What is the optimum way to segment and track our users and their digital behavior? What can we learn through cohort analyses, regression models, etc? How should we prioritize different A/B tests? When are the results statistically significant? When do we pull the plug?\n\n\n\nAbout You\n* 3-5 years of experience with design and development using modern BI/Analytic tools such as Looker, Snowflake and dbt to serve data to business users for guided and self-service discovery\n* Strong knowledge of SQL with a proven experience to create clean datasets and utilize CASE WHEN statements, transformative functions, and (preferably) Jinja macros\n* Intermediate at Python programming for data analysis/ science\n* Aligned with hyper-growth culture at Super\n* Strong comprehension of financial and customer KPIs\n* Great communication across multiple teams and stakeholders\n* Propensity to learn and dive into the data to find a solution to business problems without direct guidance\n* Enjoyment from working on a team of driven individuals with varying specialities (product, ops, data, engineering) to achieve a common goal\n* Capable of performing analyses of rich datasets to track feature usage and performance, identify potential gaps and opportunities, and communicate recommendations\n* Openness to peer coding reviews\n* Someone with strong curiosity and a keen interest in continued learning and teaching\n\n\n\n\n$100,000 - $140,000 a year\n\nWe Believe in Equal Opportunity \n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\n\nAccommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Senior 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
\n\n#Location\nAustin

\nWe are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health's software applications. You will be embedded in a product development team focusing on the member experience which ensures that Spring Health benefit-eligible employees receive care in the most appropriate and effective way for their mental health journey. In this role, you will help your team to uncover and prioritize new product opportunities and make impact across the entire initiative launch cycle—from data collection design to experimentation to synthesizing actionable learnings and influencing product strategy. \n \n\nWhat you’ll be doing: \n\n\n* Conduct data analyses that influence the product strategy for improving the member experience. \n\n* Lead experimentation to help the product team reason about the impact their features are having on the member experience. \n\n* Collaborate with product, engineering, design, and UXR leads on defining key indicators of the quality of our member experience and uncovering opportunities to improve the user experience\n\n* Investigate user and care segmentation patterns to identify key product opportunities beyond therapy.\n\n* Collaborate with researchers to evaluate how coaching and other care options impact clinical outcomes. \n\n* Build necessary data models to enable analytics and reporting, and partner with data engineering on best practices. \n\n* Lead prioritization and roadmapping discussions from a data science perspective\n\n* Use appropriate advanced methods, from experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around member engagement patterns from enrollment through to retention.\n\n* Work with other data scientists and ML engineers to identify, prioritize, develop, and measure data-centric product features like personalized recommendations and adaptive care pathing. \n\n\n\n \n\nWhat we expect from you:\n\n\n* 5+ years of professional data science experience\n\n* Hands-on experience with experimentation and hypothesis testing\n\n* Proficiency with SQL and Python or R\n\n* Comfort with wrangling event log data\n\n* Experience with data modeling via dbt or similar tools\n\n* Experience working with data visualization and BI tools (e.g. Looker, Tableau) \n\n* Facility with a product development process in the context of a software product\n\n* Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business partners\n\n* Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment\n\n* Passion for successfully navigating ambiguous problem areas and learning new approaches\n\n* Willingness to travel (at least 1 time per year) to NYC for collaborative sessions and summits with the team\n\n\n\n \n\nWhat we’d love to see (bonus):\n\n\n* Familiarity with marketing SaaS metrics (e.g., CAC) and an interest in applying such efficiency models to novel domains.\n\n* Exposure to building and/or evaluating recommendation algorithms, tuning search and sorting algorithms is preferred\n\n\n\n \nThe target salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.\n\nDon’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!\n\nReady to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values\nHypergrowth meets impact\n\nWhat to expect working here:\n\n\nYou will be held accountable to an exceptionally high bar and impact\n\nThis may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact\n\nYou will be challenged to set and protect your own boundaries\n\nYou will create processes & products that have never existed before\n\nYou will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be\n\nChange is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows\n\n\n\n\nAnd…\n\n\nYou get to be surrounded by some of the brightest minds in the field  \n\nYou get to learn and grow at an extremely accelerated pace\n\nYou will experience transparency, integrity, &  humility from leadership \n\nYou will be empowered to constantly challenge the status quo\n\nYou get the space to experiment & innovate\n\nYou get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly\n\nYou will become more resourceful and resilient\n\nYou get to be part of a winning team that opens doors in the future\n\n\n\n \n\nBenefits provided by Spring Health:\n\nYour Total Health:\n\n\nGenerous medical, dental, vision coverage available day 1 + access to One Medical\n\n20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents\n\nFlexible paid time off in addition to 12 paid holidays throughout the year\n\n$500 per year Wellness Reimbursement\n\nAccess to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management.\n\nSabbatical Leave: When you’re a Team Member at Spring Health and hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave. \n\n\n\n\nYou And Your family:\n\n\n4-4.5 months of fully paid parental leave\n\nSpring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care.\n\nAccess to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience. \n\nAccess to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses\n\n\n\n\nSupporting you financially through:\n\n\nOur People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.\n\nOn top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!\n\nEmployer sponsored 401(k) match of up to 2% after 90 days of employment\n\n\n\n\nCreating a culture you can thrive in:\n\n\nFlexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices\n\nFocus Fridays: no meetings, no distractions, just time for you to get work done.\n\nFocus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members.\n\nUp to $1,000 Professional Development Reimbursement per calendar year.\n\n$200 per year donation matching to support your favorite causes\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 Design, SaaS, Python, Education, Senior and Marketing jobs that are similar:\n\n $57,500 — $97,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

\n📍London | 💰 £150,000- £200,000 + Benefits | Data Science \n\nAbout us \n\nWe’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.\n\nWe want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.\n\nWe're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.\n\nAbout our Data Discipline\n\nWe have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.\n\nWe work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.\nYour Mission \n\nYou will be responsible for partnering with senior stakeholders in Fincrime to develop evidence-driven solutions to important Financial Crime problems. You will apply your leadership experience and data expertise to solve complex business challenges, help drive decision-making (at squad and leadership level) and develop data products (where appropriate) that will improve our ability to fight financial crime and keep customers safe. You will lead a team of data professionals of currently 25 people. You will also be part of the wider data leadership group and help shape the role that data plays across the company.\n\nYour day-to-day \n\n\n* Establish yourself as a trusted member of the financial crime and product senior leadership teams with the capacity for getting things done and to enable better decision making\n\n* Bring data leadership and rigour to our financial crime function and build a strategic understanding of the business while structuring complex projects to bring them to life\n\n* Set the data strategy for financial crime area which will help us to build one of the most effective fincrime prevention and detection capabilities in the financial industry\n\n* Own complex, data driven systems to combat fraud and financial crime, including customer risk assessments and transaction monitoring\n\n* Help your team to focus and to prioritise for highest impact initiatives for the business\n\n* Effectively manage stakeholder relationships and expectations across various functions like engineering, product, operations and first and second lines of defence\n\n* Develop and further scale a high performing team of data professionals across a wide range of data capabilities\n\n* Coach managers and individual contributors, helping them to grow professionally and personally\n\n\n\n\nYou should apply if:\n\nWhat we’re doing here at Monzo excites you!\n\n\n* You have multiple years of experience in a hands on data role in the past and have now been leading data science teams in operations, financial crime or fraud\n\n* You consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the job\n\n* You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities\n\n* You have experience working together and collaborating with senior business stakeholders\n\n* You have experience leading a full stack data team, including Analysts, Data Scientists, Analytics Engineers and Machine Learning Engineers\n\n* You have experience managing data managers\n\n\n\n\nThe Interview Process\n\nOur interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!\n\n\n* 30 minute recruiter call \n\n* 45 minute call with the hiring manager\n\n* 3 x 1-hour video calls with various team members, including the general manager for Financial Crime\n\n* A meet and greet with a Monzo Executive Committee member\n\n\n\n\nOur average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on [email protected]\n\nWhat’s in it for you:\n\n💰 £165,000- £200,000 ➕ plus stock options & benefits \n\n✈️ We can help you relocate to the UK (delete if doesn’t apply) \n\n✅ We can sponsor visas (delete if doesn’t apply).\n\n⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.\n\n📚 Learning budget of £1,000 a year for books, training courses and conferences\n\n➕ And much more, see our full list of benefits here\n\nEqual Opportunity Statement\n\nWe are actively creating an equitable environment for every Monzonaut to thrive.\n\nDiversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog,  2021 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.\n\nWe’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.\n\n#LI-NJ #LI-REMOTE \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Video, Finance, Senior and Non Tech jobs that are similar:\n\n $27,500 — $55,000/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
\n\n#Location\nLondon, England, United Kingdom

What we do:\nReinventing the way people access and use credit.\nMigo is an embedded lending platform that enables companies to extend credit to consumers and small businesses in their own apps. Migo builds proprietary ML algorithms to assess credit risk using the company’s data then automates credit facilities via cutting-edge cloud infrastructure, simplifying the complex world of lending with a simple API. This way Migo expands economic access by enabling credit for populations ignored by traditional credit bureaus, in many cases providing life-changing opportunities to lower-income customers. Migo is headquartered in San Francisco and currently operates in Nigeria and Brazil.\n\nWhat you will do:\nAs the Product & Marketing Analyst, reporting into the Director of Product, your main responsibility will be to deep-dive into marketing strategy and identify successes and areas of opportunity. Your day to day will include looking at product health and performance with a fresh perspective to find opportunities for increasing conversion and retention of our customers. You will work to define a robust product and marketing dashboard for the product team primarily, stakeholders secondarily as well as holding metric reviews with our Senior Leadership Team. This role will help enable product team to easily access quantitative data to inform product development direction and strategy. This is an ideal position for someone who enjoys creating KPIs and dashboards to monitor product performance, including new product launches to mitigate risks, measure success, and recommend optimizations.\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 Cloud, Senior, Marketing and Non Tech jobs that are similar:\n\n $62,500 — $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
\n\n#Location\nLagos, Nigeria

\nReddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.\n\nWe are looking for a  Senior Data Scientist to work with our Economy team. The Economy team is part of the Special Projects division at Reddit and is among the most innovative and forward-looking teams at the company. Together we’re trying to build an Internet of free, independent communities that are powered by a fun, collaborative economy. Our goal is to find new monetization models that restore the balance of power online, putting it back in the hands of the people. \n\nAs the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.\n\nHow You’ll Have Impact:\n\nYou’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.\n\nWhat You’ll Learn:\n\nYou will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).\n\nWhat You’ll Do:\n\n\nPartner with Eng and Product to define and execute roadmap and initiatives\n\nDefine team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards\n\nCommunicate findings and co-design strategy with the most senior leaders in our organization\n\nLead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.\n\n\n\n\nWho You Might Be:\n\n\n4+ years of experience in Data Science or Analytics function in a tech consumer company \n\nProficiency with relational databases (e.g., SQL)\n\nFamiliarity with statistical analysis and programming languages preferred (e.g., R / Python)\n\nAbility to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred\n\nDemonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses\n\nExperience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)\n\nEntrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments\n\nAbility to communicate and discuss complex topics with technical and non-technical audiences\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, Senior, Engineer, iOS, Executive, Analyst and Stats 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
\n\n#Location\nChicago, Illinois, United States

\nReddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.\n\nWe are looking for a Senior Data Scientist to work on our Reddit Talk team. Reddit Talk lets people have live audio conversations in their favorite communities. We have strong momentum with top subreddits hosting Talks ranging from AMAs (e.g., r/space with Chris Hadfield) to community conversations (e.g., r/dadjokes) attended by 10,000+ listeners. We’ve also built a community of moderators that we’re working with closely to expand this product. Our vision is to make Talk the go-to surface for live conversations on Reddit in all formats and we are doubling the team to make this happen. As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build one of Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.\n\nHow You’ll Have Impact:\n\nYou’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.\n\nWhat You’ll Learn:\n\nYou will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).\n\nWhat You’ll Do:\n\n\nLead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.\n\nPartner with Eng and Product to define and execute Reddit Talk’s roadmap and initiatives\n\nDefine team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards\n\nCommunicate findings and co-design strategy with the most senior leaders in our organization\n\nMentor and guide data scientists from across the company on best practices, techniques, and thought processes\n\n\n\n\nWho You Might Be:\n\n\n4+ years of experience in Data Science or Analytics function in a tech consumer company \n\nProficiency with relational databases (e.g., SQL)\n\nFamiliarity with statistical analysis and programming languages preferred (e.g., R / Python)\n\nAbility to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred\n\nDemonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses\n\nExperience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)\n\nExperience working with senior cross-functional stakeholders (VP, C-level)\n\nDesire to mentor other data scientists and share best practices to elevate the data science practice at Reddit\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science and Senior jobs that are similar:\n\n $70,000 — $127,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nAustin, Texas, United States

\nReddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.\n\nWe are looking for a Senior Data Scientist to work on our Reddit Talk team. Reddit Talk lets people have live audio conversations in their favorite communities. We have strong momentum with top subreddits hosting Talks ranging from AMAs (e.g., r/space with Chris Hadfield) to community conversations (e.g., r/dadjokes) attended by 10,000+ listeners. We’ve also built a community of moderators that we’re working with closely to expand this product. Our vision is to make Talk the go-to surface for live conversations on Reddit in all formats and we are doubling the team to make this happen. As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build one of Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.\n\nHow You’ll Have Impact:\n\nYou’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.\n\nWhat You’ll Learn:\n\nYou will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).\n\nWhat You’ll Do:\n\n\nLead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.\n\nPartner with Eng and Product to define and execute Reddit Talk’s roadmap and initiatives\n\nDefine team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards\n\nCommunicate findings and co-design strategy with the most senior leaders in our organization\n\nMentor and guide data scientists from across the company on best practices, techniques, and thought processes\n\n\n\n\nWho You Might Be:\n\n\n4+ years of experience in Data Science or Analytics function in a tech consumer company \n\nProficiency with relational databases (e.g., SQL)\n\nFamiliarity with statistical analysis and programming languages preferred (e.g., R / Python)\n\nAbility to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred\n\nDemonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses\n\nExperience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)\n\nExperience working with senior cross-functional stakeholders (VP, C-level)\n\nDesire to mentor other data scientists and share best practices to elevate the data science practice at Reddit\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science and Senior jobs that are similar:\n\n $70,000 — $127,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States