Senior Data Scientist, RC Capital
About RevenueCat
RevenueCat removes the headaches of building and scaling in-app subscriptions. Since graduating from YC’s S18 batch, it has grown into the default monetization platform for mobile — present in over 40% of newly shipped subscription apps, processing $12B+ in annual purchase volume, and helping everyone from a solo developer in Brazil to the OpenAI mobile team understand and grow their revenue. The company is a remote-first crew of 150+ people across 25+ countries, guided by values it practices day to day: Customer Obsession, Always Be Shipping, Own It, and Balance.
The Opportunity: RC Capital
RC Capital is RevenueCat’s next chapter — helping developers make more money not just through software, but through financial products. The first product is Daily Payouts, a factoring product that lets developers get app store proceeds sooner. There’s a lot more on the roadmap: credit cards, revenue-based lending, and cohort-based financing.
This role is a greenfield opportunity to be the founding Data Scientist embedded within the Capital team, scaling a new fintech business line from under $1M to $100M+, partnering directly with leadership and bringing a new product to life inside RevenueCat.
What You’ll Do
- Own the Data Science strategy for RC Capital, building underwriting and fraud detection systems from the ground up.
- Develop models for lead qualification, anomaly detection, fraud prevention, and credit underwriting using real-time app revenue data.
- Partner closely with Product and Engineering to integrate risk signals into customer-facing flows and internal decisioning engines.
- Analyze cross-platform revenue data to uncover insights that improve underwriting models and product design.
- Build mechanisms for measuring impact and evaluating model performance.
- Operate with high ownership in an ambiguous, fast-moving environment.
About You
- 5+ years of data science experience, ideally in fintech, credit, lending, or payments.
- Deep expertise in fraud and/or underwriting, with an understanding of the nuances of financial data.
- Highly analytical and technical — expert in SQL and Python, comfortable building, deploying, and monitoring models in production.
- Understanding of mobile apps or developer ecosystems, or eagerness to learn the space.
- An owner’s mindset, comfort with ambiguity, and systems-level thinking.
- Good judgment for knowing when a model is “good enough” versus chasing diminishing returns.
What Success Looks Like
What They 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.
- $2,000 workspace setup stipend and $1,000 annual learning stipend.