🛠 Tech Stack

💼 About This Role

You'll proactively explore data to identify customer problems and shape product direction at RevenueCat, the default mobile subscription platform powering $10B+ in annual purchases. You'll design, build, and ship production-grade predictive models that power customer-facing features like LTV prediction and experimentation. Collaborating with Product and Engineering, you'll drive the data feature roadmap and influence decision-making across the company.

🎯 What You'll Do

• Proactively explore data to identify customer problems and opportunities.
• Translate ambiguous business problems into clear analyses and models.
• Partner with Product Managers to shape roadmaps and influence decisions.
• Design, build, and ship production-grade predictive and descriptive models.

📋 Requirements

• 5+ years of experience as a Data Scientist.
• Strong SQL skills and comfort with data modeling.
• Experience building and deploying predictive models in production.
• Ability to write or collaborate on production-ready Python code.

✨ Nice to Have

• Experience with Bayesian statistics and experimentation.
• Comfort operating in ambiguous environments.

🎁 Benefits & Perks

• 💰 Competitive equity in a Series C startup backed by Y Combinator.
• 🏖️ 4-5 weeks of suggested time off annually.
• 🖥️ $2,000 USD workspace setup stipend.
• 📚 $1,000 USD annual learning stipend.
• 🌍 Fully remote and flexible work environment.