Develop data science solutions for Trust and Safety, including fraud and abuse detection. Responsibilities include gathering and preparing data, exploratory analysis, feature engineering, statistical analysis, machine learning, model evaluation, and communicating insights. The role partners with Product, Engineering, Operations, and Business stakeholders to deliver models, dashboards, recommendations, and operational improvements, with emphasis on rare-event detection and imbalanced datasets.