RevenueCat
Senior Data Scientist
Rol remoto de Engineering con fit claro de ubicación del candidato.
Publicado3 feb 2026
Países elegibles86 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
Senior Data Scientist
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
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, 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.
About you
- 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.
About you
- 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.
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.
Within the first 3 months, you'll:
- 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.
Within the first 6 months, you'll:
- 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.
Within the first 12 months, you'll:
- 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.
What we offer:
- 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
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