Senior Product Data Scientist

Stack

Responsibilities

• ▹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, 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 to technical and non-technical audiences, with a focus on customer impact.

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.
• ▹Solid understanding of statistics and experimentation, ideally including Bayesian approaches.
• ▹Ability to clearly explain complex ideas and results to broad audiences.

Soft skills

About the company

RevenueCat removes the headaches of building and scaling in-app subscriptions, powering monetization for over 40% of newly shipped subscription apps and processing $12B+ in annual purchase volume, with a remote-first team of 150+ across 25+ countries.