Data Scientist, Fraud
Core
Build and improve machine learning and statistical models for fraud detection, loss management, and financial crime risk in global payments.
Role type
Data Scientist (Fraud & Financial Crime)
Builds
Fraud detection models, loss estimation systems, and financial crime risk models for Stripe's payment infrastructure.
Domain
Fintech / Global Payments / Financial Crime
Deliverable
production ML models
Required skills
supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, experimentation, SQL, Python or R
Preferred skills
model deployment and threshold tuning, complex experimental design, distributed computing (Spark, Hadoop), quantitative research
Technologies
SQL, Python, R, Spark, Hadoop
Responsibilities
Develop models for account takeover detection, card fraud classification, and merchant-level loss estimation; partner with engineering to move models to production; synthesize complex analyses into actionable fraud strategy recommendations.
Seniority
Mid-to-Senior level (requirements vary by degree: 1-8 years experience)
