Senior Data Scientist

Overview

Job Description

Responsibilities

• - 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.

Required Skills

• - 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.

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.