Data Scientist, Fraud Risk

📋 Description

• Own and improve Imprint's onboarding fraud decisioning across the full application journey
• Build, validate, deploy, and monitor models that detect identity theft, synthetic identity
• Evaluate third-party fraud and identity vendors by testing scores and attributes, measuring
• Design and analyze A/B tests, shadow tests, holdouts, and champion/challenger strategies, balancing
• Investigate emerging fraud patterns and decision misses, combining application and post-booking
• Build monitoring and AI-powered workflows that detect model drift, population shifts, vendor

🎯 Requirements

• 5 to 8+ years of experience in data science, risk analytics, or a related quantitative field
• Strong Python and SQL skills, with the ability to build models, transform raw data, and create
• Experience building and evaluating predictive models for fraud, identity, KYC, AML, credit risk
• Strong understanding of supervised machine learning, model validation, backtesting, calibration
• Deep understanding of statistical inference and experiment design, including A/B tests, holdouts
• Ability to evaluate decision systems—not just model performance—using metrics such as fraud

🎁 Benefits

• Competitive compensation and equity packages
• Leading configured work computers of your choice
• Flexible paid time off
• Fully covered, high-quality healthcare, including fully covered dependent coverage
• Additional health coverage includes access to One Medical and the option to enroll in an FSA
• 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents