Data Scientist (Fraud)
Core
Build ML models, experiments, and detection systems to fight fraud and protect millions of customers and merchants across the platform.
Role type
Senior IC data scientist (fraud detection)
Builds
Production-grade fraud detection models and anomaly detection systems
Domain
Fintech / Financial crime
Deliverable
production ML models
Required skills
Python, SQL, machine learning model development, statistical inference, feature engineering, experimentation design, anomaly detection
Preferred skills
Fraud, risk, or financial services experience
Responsibilities
Prototype and deploy ML models for fraud detection; design experiments to measure fraud intervention impact; size fraud typologies to inform prioritization; build anomaly detection systems; translate model outputs into real-world mitigations
Seniority
Senior, hands-on IC
