Customer & SKU-Level Models: Build, validate, and maintain predictive models, such as subscription renewal and cancellation likelihood, refund and chargeback risk, and SKU-level demand, using statistical and machine learning methods (e.g., logistic regression, survival analysis, gradient boosting). Forecasting & Predictive Modeling: Hands-on experience with both: building financial forecasts (e.g., time-series, regression) and predictive models (e.g., logistic regression, survival analysis, gradient boosting) that leadership used to make decisions.