Senior Data Scientist

Overview

Job Description

Responsibilities

• - 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
• - 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

Required Skills

• - 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 the nuances of financial data
• - Highly analytical and technical
• - Expert in SQL and Python
• - Ability to build, deploy, and monitor models in production
• - Understanding of mobile apps or developer ecosystems, or eagerness to learn this space
• - Ownership mentality
• - Comfort with ambiguity and making low-information, high-stakes decisions
• - Systems thinking and ability to automate and build scalable solutions
• - Balance detail, speed, and ambition without losing sight of impact

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 and $1,000 USD annual stipend for continuous learning