Data Scientist (Fraud)

Build and deploy machine learning models and anomaly detection systems that detect and mitigate emerging fraud threats across the platform. Prototype and ship production-grade models, run experiments to measure the impact of fraud interventions, and size fraud typologies to guide prioritization and investment. Collaborate closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.