Build and productionize applied machine learning models using game, player, and operational data. Responsibilities include problem formulation, data preparation, feature engineering, model evaluation, forecasting, classification, segmentation, anomaly detection, deployment, monitoring, and documentation. The role partners with product and business teams to connect model performance to outcomes and applies LLM and agent capabilities where useful.