Senior Data Scientist, RC Capital
$220,000–$220,000 year
RemoteUnited States
Job Summary
Own the Data Science strategy for RC Capital by building foundational underwriting and fraud detection systems from the ground up. Develop sophisticated models for lead qualification, anomaly detection, and credit underwriting using real-time app revenue data. Partner 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. Establish mechanisms for measuring impact and driving prioritization of new data initiatives in an ambiguous, fast-moving environment.
Required Qualifications
- 5+ years of data science experience
- strong background in fintech, credit, lending, or payments
- deep expertise in fraud and/or underwriting
- ability to build models that balance risk and growth
- understanding of financial data nuances
- expert in SQL
- expert in Python
- ability to build, deploy, and monitor models in production
- ability to pull data independently
- experience with models that carry real financial consequence
- ability to make low-information, high-stakes decisions
- ability to quickly get to confidence, move on, and iterate
- systems thinking ability to automate and build things that scale
- ability to balance detail, speed, and ambition without losing sight of impact
- ability to operate with high ownership in an ambiguous, fast-moving environment
- ability to define long-term vision for financial products
- ability to integrate risk signals and underwriting logic into customer-facing flows
- ability to measure impact and evaluate model performance
- ability to drive prioritization of new data initiatives
- ability to lead new Data initiatives as the Capital product line expands
- ability to shape how Data Science operates within Capital as the team grows
- ability to have a material impact on how RevenueCat deploys capital and manages risk at scale
- ability to understand how Daily Payouts works and what data powers it
- ability to get to know the team and the current state of underwriting and fraud approach
- ability to form a point of view on where the biggest gaps are
- ability to have a baseline fraud detection model in production
- ability to work with Product and Engineering to integrate risk signals into real customer flows
- ability to define what 'better' looks like for underwriting models
- ability to own the underwriting and fraud detection systems end to end
- ability to influence the RC Capital product roadmap with data-backed proposals
- ability to know how RevenueCat's revenue data translates into financial risk signals
Desired Qualifications
- strong background in fintech, credit, lending, or payments (ideally)
- experience with mobile apps or developer ecosystems
- eagerness to learn how apps earn money at scale
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