Senior Data Scientist, Product

The role

You will proactively explore data to identify customer problems and product opportunities. You will design, build, and ship production-grade predictive and descriptive models to power customer-facing features.

What you will 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.
• Design, build, and ship production-grade predictive and descriptive models.
• Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
• Communicate insights clearly and persuasively to technical and non-technical audiences.
• Continuously iterate on shipped models and features based on real-world usage and feedback.

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

Nice to have

• Bayesian approaches

Benefits

• Competitive equity in a fast-growing, Series C startup
• 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
• Continuous learning stipend

About the company

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. They are a remote-first team of 150+ people across 25+ countries.