Applied Scientist, Long Term Planning & Forecasting

About the role

We are looking for a strong Applied Scientist to join Long-Term Planning and Forecasting (LTPF) within Supply Chain Optimization Technologies (SCOT). Our mission is to accelerate the Amazon flywheel and ensure Amazon's long-term success by leveraging Generative AI (GenAI) and Reinforcement Learning (RL) to build the forecasting, optimization, and analytics products that plan Amazon's Topline, Inventory, and Fulfillment Capacity and Topology.

In this role, you will develop our next-generation forecasting, planning, and insight-generation products powered by GenAI and reinforcement learning. You will design and implement novel, sophisticated scientific solutions to large-scale problems that directly shape how Amazon plans for the years ahead. You will collaborate closely with applied scientists, research scientists, economists, product managers, and software engineers.

Responsibilities

• Develop next-generation forecasting, planning, and insight-generation products using Generative AI and Reinforcement Learning.
• Design and implement novel, sophisticated scientific solutions to large-scale problems impacting Amazon’s long-term planning.
• Collaborate with applied scientists, research scientists, economists, product managers, and software engineers.
• Balance theoretical rigor with practical implementation to drive data-driven decisions at massive scale.

Requirements

• Passion for shaping Amazon’s long-term success with Generative AI and Reinforcement Learning.
• Ability to communicate complex technical concepts effectively.
• Innovative thinking and problem-solving skills.