Senior Data Scientist, Product

• Proactively explore RevenueCat's data to identify customer problems, opportunities, and product bets.

• Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations.

• Partner with Product Managers to shape roadmaps, not just execute on them.

• Design, build, and ship production-grade predictive and descriptive models that power customer-facing features.

• Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.

• Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact.

• Continuously iterate on shipped models and features based on real-world usage and feedback.

This role has real ownership. You will not just support decisions, you will help drive them.

You are a Senior Data Scientist who cares deeply about impact and product outcomes.

From a skills perspective, you bring:

• 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.

• A solid understanding of statistics and experimentation, ideally including Bayesian approaches.

• The ability to clearly explain complex ideas and results to broad audiences.

• You are highly proactive and opinionated, and you are comfortable pushing ideas forward.

• You enjoy working with messy, real-world data and imperfect information.

• You care more about creating customer value than academic elegance.

• You are comfortable operating in ambiguity and building structure where none exists.

• You enjoy working closely with Product teams and influencing decisions.

• You are excited by the consumer subscription ecosystem and curious about how developers make money.

• Understand our data models.

• Get to know the team.

• Ramp up on the ongoing data feature work.

• Implement and ship your first project.

• Meaningfully contribute to shipping a data feature to thousands of developers.

• Learn the basics of incident response, and be part of the on-call rotation.

• Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features.

• Launch your own explorations into our data to fulfill your own curiosity.

• Own one or more core data-powered features end to end.

• Influence the data feature roadmap with clear, data-backed proposals.

• Be a go-to partner for product teams on data-driven decision making.

• Propose and lead entirely new data-driven product initiatives.

• Push the boundaries of how RevenueCat uses data to help developers grow revenue.

• Help shape how data science operates at RevenueCat as the function grows.

• Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator

• 10-year window to exercise vested equity options

• A 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

• How we think about hiring and team design: Building a Winning Team

• The values that guide how we work: Our Values

• How we work as a remote team: How We Work Remotely at RevenueCat

• What to expect from our interview process: Interview Expectations

• What to expect from comp and employment: Employment FAQ