Senior Data Scientist

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 explain complex ideas and results to broad audiences.

What You'll be Doing:

• 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.

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

• Communicate insights clearly to technical and non-technical audiences.

• Continuously iterate on shipped models and features based on feedback.

Nice to Haves:

• You are highly proactive and opinionated, 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 in ambiguity and can build structure where none exists.

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

• You are excited by the consumer subscription ecosystem.

Perks and 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