Americas•EMEA
Remote
Senior
Full Time
about 1 month ago
Senior Data ScientistRemote-firstData SciencePythonSQLPredictive ModelingProduct-minded
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
What You'll Do
- •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
Nice to Have
- •Highly proactive and opinionated, comfortable pushing ideas forward
- •Enjoy working with messy, real-world data and imperfect information
- •Care more about creating customer value than academic elegance
- •Comfortable operating in ambiguity and building structure where none exists
- •Enjoy working closely with Product teams and influencing decisions
- •Excited by the consumer subscription ecosystem and curious about how developers make money
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
