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.

Requirements

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.

Benefits

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
Fully remote and flexible work environment
4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
$2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingpredictive modelsdescriptive modelsPythonstatisticsexperimentationBayesian approaches

Soft Skills

communicationproblem-solvingcollaborationanalytical thinking