Senior Data Scientist, Fraud & Risk - RevenueCat

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. We process $16B+ in annual purchase volume and operate as a remote-first team of 150+ people across 25+ countries.

The Role

We're looking for a Senior Data Scientist to support product initiatives for RevenueCat Capital, with deep experience in lead qualification, anomaly detection, fraud prevention, and underwriting.

This is a chance to be the founding Data Scientist embedded within the Capital team, scaling our new fintech business lines from <$1M to $100M+.

What you'll do

• Own the Data Science strategy for RC Capital. Build the foundation for our underwriting and fraud detection systems from the ground up.
• Develop sophisticated 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 and underwriting logic into customer-facing flows and internal decisioning engines.
• Analyze cross-platform revenue data to uncover insights that improve our underwriting models and product design.
• Build mechanisms for measuring impact, evaluating model performance, and driving prioritization of new data initiatives.
• Operate with high ownership in an ambiguous, fast-moving environment helping to define the long-term vision for our financial products.

About you

• You have 5+ years of data science experience, ideally with a strong background in fintech, credit, lending, or payments.
• You have deep expertise in fraud and/or underwriting, balancing risk and growth.
• You're highly analytical and technical. Expert in SQL and Python with the ability to build, deploy, and monitor models in production.
• You understand mobile apps or developer ecosystems, or are eager to learn how apps earn money at scale.
• You act like an owner and treat RevenueCat's balance sheet, product, and brand as your own.
• You thrive in ambiguity and are comfortable making low-information, high-stakes decisions.
• You're a systems thinker looking for opportunities to automate and build things that scale.

What we offer

• Competitive equity in a fast-growing, Series C startup backed by top-tier investors
• 10-year window to exercise vested equity options
• Fully remote environment designed around autonomy and flexibility
• 4-5 weeks of flexible time off annually
• Paid desk at a co-working space
• Workspace budget and continuous learning stipend