Senior Data Scientist, Product
About The Position
RevenueCat is seeking a proactive, product-minded Senior Data Scientist to identify customer problems and opportunities through data and help shape the company’s product direction. The role works closely with Product, Engineering, and Analytics to decide what to build, why to build it, and how to measure success. The data scientist will develop customer-facing data products and features, including LTV prediction, experimentation and statistical significance capabilities, benchmarking, and new data-driven products. The role involves exploring RevenueCat’s data, translating ambiguous product and business questions into analyses and recommendations, and partnering with Product Managers to shape roadmaps. It also includes building production-grade predictive and descriptive models, defining statistical approaches for experimentation, benchmarking, and forecasting, communicating results to technical and non-technical audiences, and iterating on shipped models based on usage and feedback. The position carries end-to-end ownership, including influencing product decisions and contributing to data-feature pipelines and on-call rotation. RevenueCat is a remote-first company with a team of 150+ people across 25+ countries. Its data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.
Requirements
- At least 5 years of experience working as a Data Scientist.
- Strong SQL skills and comfort with data modeling.
- Experience building and deploying predictive and descriptive models in production.
- Experience writing or collaborating on production-ready Python code.
- Solid understanding of statistics and experimentation, ideally including Bayesian approaches.
- Ability to clearly explain complex ideas and results to broad audiences.
Nice To Haves
- Proactive and opinionated, with the confidence to push ideas forward.
- Enjoys working with messy, real-world data and imperfect information.
- Prioritizes customer value over academic elegance.
- Comfortable operating in ambiguity and creating structure.
- Enjoys working closely with Product teams and influencing decisions.
- Interested in the consumer subscription ecosystem and how developers make money.
Responsibilities
- Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets.
- Translate ambiguous product and business problems into clear analyses, models, and recommendations.
- Partner with Product Managers to shape roadmaps.
- Design, build, and ship production-grade predictive and descriptive models for customer-facing features.
- Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
- Communicate insights clearly to technical and non-technical audiences, focusing on customer impact.
- Iterate on shipped models and features based on real-world usage and feedback.
- Contribute to improving data pipelines for data science features.
- Participate in the on-call rotation.
- Own core data-powered features end to end and influence the data-feature roadmap with data-backed proposals.
- Propose and lead new data-driven product initiatives and help shape how data science operates as the function grows.
Benefits
- Competitive equity in a fast-growing Series C startup backed by investors including Y Combinator.
- 10-year window to exercise vested equity options.
- Fully remote environment designed around autonomy and flexibility.
- 4–5 weeks of flexible time off annually.
- Paid desk at a co-working space.
- Workspace budget and continuous learning stipend.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
