Senior Data Scientist
$220,000–$220,000 year
RemoteUnited Kingdom or United States
Job Summary
Proactively explore RevenueCat's data to identify customer problems, opportunities, and product bets, translating ambiguous business questions into clear analyses and recommendations. Partner with Product, Engineering, and Analytics to shape roadmaps, design production-grade predictive models for features like LTV prediction, and define statistical approaches for experimentation and benchmarking. Communicate insights persuasively to drive data-backed decisions and influence product direction through clear hypotheses. Continuously iterate on shipped models based on real-world usage and feedback. This role requires 5+ years of experience with SQL, Python, and statistical modeling in a remote-first environment, with a focus on shipping end-to-end data features that directly impact millions of users and developer revenue.
Required Qualifications
- 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
Desired Qualifications
- 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
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