220K–220K USD / year

Senior Data Scientist, Product

DataRemote — Americas, EMEA
Published on 2026-10-27
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build and ship data-powered product features that help mobile app developers understand and grow subscription revenue. You’ll proactively find customer opportunities, shape product direction with data, and own predictive and descriptive models from analysis through launch and iteration.

About the company

RevenueCat provides a comprehensive platform for managing and analyzing in-app subscriptions and recurring revenue for software developers. Their services enable businesses to streamline billing processes and gain insights into customer behavior, enhancing financial growth and user engagement.

Stack

PythonPostgreSQLSnowflakedbtAWS

What you'll do

  • Explore company data to identify customer problems and product opportunities.
  • Turn ambiguous product and business questions into analyses, models, and recommendations.
  • Partner with Product Managers to shape roadmaps and product decisions.
  • Build and ship production-grade predictive and descriptive models for customer-facing features.
  • Develop statistical approaches for experimentation, benchmarking, and forecasting.
  • Communicate insights clearly and iterate on features based on usage and feedback.

What we're looking for

  • 5+ years of data science experience.
  • 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.
  • Solid statistics and experimentation knowledge, ideally including Bayesian methods.
  • Strong communication skills for technical and non-technical audiences.

Nice to have

  • Interest in the consumer subscription ecosystem and how developers monetize their apps.

Benefits

  • Equity, with a 10-year window to exercise vested options.
  • Fully remote work with autonomy and flexibility.
  • Four to five weeks of flexible time off annually.
  • Paid coworking desk.
  • Workspace budget and continuous learning stipend.
View original job post