Data Scientist, Fraud

📋 Description Build and improve models powering Stripe's fraud and loss systems Collaborate with Fraud Engineering and Risk Operations Move models from research to production Surface insights to shape fraud strategy Apply supervised/unsupervised ML and statistical techniques 🎯 Requirements PhD/MS/BS with 1-8 years data science or modeling Experience with Fraud, Risk or Financial Crimes SQL and Python or R proficiency Cross-functional team delivery experience Clear results communication and impact focus Ability to manage multiple projects with attention to detail 🎁 Benefits