Senior Data Scientist, RC Capital

RevenueCat

2d • Remote

About The Position

RevenueCat is seeking a Senior Data Scientist to join the RevenueCat Capital team. This is a founding role within a new fintech business line, offering a greenfield opportunity to build and scale underwriting and fraud detection systems from the ground up. The position involves partnering directly with leadership, collaborating across teams, and bringing a new product to life. The work will directly impact real money, developers, and a product in its early stages. RevenueCat Capital aims to help developers make more money through financial products, leveraging its existing trust, distribution, real-time data, and industry insights. The first product is Daily Payouts, with plans to expand into credit cards, revenue-based lending, and cohort-based financing.

Requirements

• 5+ years of data science experience, ideally with a strong background in fintech, credit, lending, or payments.
• Deep expertise in fraud and/or underwriting.
• Ability to build models that balance risk and growth, and understanding of financial data nuances.
• Highly analytical and technical.
• Expert in SQL and Python.
• Ability to build, deploy, and monitor models in production.
• Willingness to pull data independently.
• Understanding of mobile apps or developer ecosystems, or eagerness to learn this space.
• Acts like an owner, not afraid to roll up sleeves and get things done.
• Thrives in ambiguity, comfortable making low-information, high-stakes decisions.
• Systems thinker, able to see the process and identify opportunities to automate and build scalable solutions.
• Knows when it's good enough, balancing detail, speed, and ambition without losing sight of impact.

Responsibilities

• Own the Data Science strategy for RC Capital.
• Build the foundation for underwriting and fraud detection systems from the ground up.
• Develop sophisticated models for lead qualification, anomaly detection, fraud prevention, and credit underwriting.
• 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 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 financial products.

Benefits

• 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 for mental, physical, and emotional recharge
• $2,000 USD for workspace setup
• $1,000 USD annual stipend for continuous learning

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed