This is a fully remote position, open to applicants in United States.

• Take ownership of the Data Science strategy for RC Capital and establish the groundwork for our underwriting and fraud detection systems.

• Create advanced models for lead qualification, anomaly detection, fraud prevention, and credit underwriting.

• Collaborate closely with Product and Engineering teams to embed risk signals and underwriting logic into customer-facing processes.

• Examine cross-platform revenue data to reveal insights that enhance underwriting models and product design.

• Develop systems for measuring impact and assessing model performance.

• Work with a high level of ownership in a dynamic environment, contributing to the long-term vision for financial products.

• Over 5 years of data science experience, preferably with a solid background in fintech, credit, lending, or payments.

• In-depth knowledge of fraud and/or underwriting.

• Highly analytical and technical; proficient in SQL and Python.

• Capable of building, deploying, and monitoring models in a production setting.

• Familiarity with mobile apps or developer ecosystems, or a strong desire to learn about this area.

• Treat RevenueCat's balance sheet, products, and brand as if they were your own.

• Excel in ambiguous situations and make decisions in low-information, high-stakes scenarios.

• Ability to think systemically and identify opportunities for automation and scalable solutions.

• Understand when something is sufficient; balance detail, speed, and ambition without losing focus on impact.

• Competitive equity in a rapidly growing, Series C startup supported by leading investors, including Y Combinator.

• 10-year period to exercise vested equity options.

• Fully remote and flexible working environment.

• 4-5 weeks of suggested annual time off for mental, physical, and emotional rejuvenation.

• $2,000 USD for workspace setup and a $1,000 USD annual stipend for ongoing education.

Senior Data Scientist

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