Amazon is building the largest Electric Vehicle (EV) delivery fleet and charging network in the world as part of our Climate Pledge. The Global Fleet and Products (GFP) Electrification & Infrastructure (E&I) team is responsible for accelerating Amazon's electrification and facilitating the successful transition of our delivery fleet to achieve net zero-emissions in support of The Climate Pledge. This role sits on the Planning and Data Systems team within GFP E&I. Our mission is to install the right EV chargers at the right place, at the right time to enable the most cost optimized solution to delivery electrification. Our team builds the disciplinary science and data tools necessary to support electrification and guide investment decisions for GFP.

We are seeking a talented and innovative research scientist with a passion for building enterprise science solutions and infrastructure components that are highly scalable, extensible, and robust. In this role, you will help us optimize our infrastructure planning, trading costs between different operational levers, technologies, and business needs. You will also help model the impact new innovations in charging, planning, operations will have on our business. This individual needs to partner with engineering, analytics, operations, and product teams across three large organizations.


Key job responsibilities
You will immerse yourself at the intersection of operations, hardware, software, and simulation systems to develop long term electrification strategies across Last Mile and Middle Mile businesses. You’ll need to be familiar with AWS services (Glue, EMR, S3, Lambda, Redshift, QuickSight, SageMaker, etc.), operations research, optimization models, and be able to drive best practices with continuous improvement and development.