Head of Applied Machine Learning - Application Fraud
You will manage a team of applied ML scientists while owning the strategy, roadmap, and execution for your specific ML domain. You are responsible for the full lifecycle of fraud detection and identity models, from data acquisition and feature engineering to production deployment and iteration.