Lead Fraud Data Scientist

About this role

Responsibilities

• Define long-term machine learning strategy and best practices for the fraud team
• Own the full lifecycle of fraud detection models from exploration to production
• Design unsupervised learning techniques to identify organized fraud rings
• Partner with Product and Engineering to integrate ML scores into rule engines
• Build dashboards using Tableau or Looker to track fraud loss and model performance