Amazon Sr Data Scientist Fleet Planning Global Products 

United States, Washington, Bellevue 

546155545

Last Mile fleet planning is a complex resource allocation problem. The goal of fleet allocation planning is to optimize the size and mix of fleet allocated to DSPs through various programs to improve branded fleet utilization. Changes in routes, last mile network, exiting DSPs and new DSP onboarding create continuous need for re-allocation of fleet to maintain an efficient network capacity. This requires allocation to adhere to various operational limits (repair network, EV range, Station Charging capability) and also match route’s cube need to vehicles capacity. As a Data Scientist on the Fleet Planning team (GFP), you will be responsible for building new science models (linear programs, statistical and ML models) and enhancing existing models for changing business needs. You would work with program managers in planning, procurement, redeployment, deployment, remarketing, variable fleet and infrastructure programs to build models that would support the requirements of all programs in a coherent plan.
Key job responsibilities
• Build models and automation for planners for generating vehicle allocation plans
• Partner with program teams to test and measure success of implemented model
• Lead reviews with senior leadership, deep dive model outputs and explain implications of model recommendations.

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience implementing mathematical optimization models using tools like XPRESS.

- Experience as a leader and mentor on a data science team
- Rental car or other fleet management experience a plus