Staff Data Scientist - Network

Key details

• Own the integrated forecast end to end, blending live tracking signals with model-generated parcels into a single view by area from today to thirty days ahead
• Build the hardest models in the area, including the long-horizon forecast, inbound-international volume forecast, and parcel size and weight models
• Set the methodology and validation standards for Demand Forecasting, defining how models are evaluated and accuracy is measured at each horizon
• Raise the technical bar by reviewing approaches, making model-choice and build-vs-buy calls, and mentoring the Senior Data Scientist and Analyst
• Define the forecast's interfaces with the demand-management layer, Routing, and network-planning function, including granularity, guarantees, and error attribution
• Learn the operational processes your models serve and identify where the current approach falls short
• Own production quality across the estate, working with the ML Engineer to monitor models, catch drift early, and trace accuracy problems
• Work with Finance to keep the handoff between operational and financial models reliable
• Quantify the impact of model error on cost per parcel and use it to decide where the area invests effort
• Company mission
• Information not specified