Principal Data Scientist

Lead technical innovation in Shipments ETA prediction across multiple transportation modes. This senior individual contributor role requires deep expertise in predictive modeling, supply chain analytics, and transportation logistics, with particular strength in regression problems and modern deep learning architectures. You will be the technical authority driving ETA accuracy improvements for Full Truck Load (FTL), Less-than-Truckload (LTL), Parcel, and complex multi-pickup/delivery scenarios. Design and implement state-of-the-art predictive models for shipment ETAs across FTL, LTL, Parcel, and multi-stop delivery scenarios. Develop unified frameworks that account for mode-specific characteristics while maintaining consistency across transportation types. Build sophisticated models for multi-pickup and delivery scenarios with dynamic routing optimization and architect scalable solutions that provide accurate ETAs with sub-second latency for millions of shipments. Incorporating seasonality, weather, traffic, and operational constraints. Implement cutting-edge location-based models combining GPS tracking, route optimization, and historical patterns. Create novel features from telematics data, driver behavior, carrier performance, and external data sources. Develop probabilistic models that provide confidence intervals and risk assessments for ETA predictions.