This question evaluates a candidate's competence in end-to-end machine learning system design for time-to-event forecasting, covering prediction target definition and timing, feature engineering and model selection, handling missing or delayed signals and data leakage, uncertainty quantification, and production monitoring and retraining.
You are building an ML model to predict package delivery time (ETA) for shipments.
Given historical shipping data (order created time, origin/destination, carrier/service level, scan events, weather, traffic, holiday seasonality, etc.), propose an approach to: