RevenueCat - Senior Data Scientist
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. • You recognize yourself in several of these: • 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. • What success looks like • In the first month, you'll: • Understand our data models. • Get to know the team. • Ramp up on the ongoing data feature work. • Implement and ship your first project.
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. • This role has real ownership. You will not just support decisions, you will help drive them. • You are a Senior Data Scientist who cares deeply about impact and product outcomes. • Meaningfully contribute to shipping a data feature to thousands of developers. • Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features. • Launch your own explorations into our data to fulfill your own curiosity. • Own one or more core data-powered features end to end. • Influence the data feature roadmap with clear, data-backed proposals. • Be a go-to partner for product teams on data-driven decision making. • Propose and lead entirely new data-driven product initiatives. • Push the boundaries of how RevenueCat uses data to help developers grow revenue. • Help shape how data science operates at RevenueCat as the function grows.
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 • Curious about the interview process? Discover more in our blog post about how we hire and learn tips to help you succeed.
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