Jobs · Engineering

Senior Data Scientist

RevenueCat · United States · Yesterday
RemoteRemoteEngineering$220k/yrFull-time

About the role

RevenueCat removes the headaches of building and scaling in-app subscriptions. Since graduating from YC’s S18 batch, we've grown into the default monetization platform for mobile. We're in >40% of newly shipped subscription apps, process $12B+ in annual purchase volume, and help everyone from a solo developer in Brazil to the OpenAI mobile team understand and grow their revenue. We're a remote-first crew of 150+, spread across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end-users (and help the developers behind them get paid), you'll fit right in.

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.

Requirements

You are a Senior Data Scientist who cares deeply about impact and product outcomes. From a skills perspective, you bring:

  • 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.

Qualifications

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 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.

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.
  • Full 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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