Applied Scientist II - Fulfillment Optimization & Science

Overview

The Amazon Fulfillment Technologies (AFT) Science team is seeking an exceptional Applied Scientist with strong operations research and optimization expertise to develop production solutions for one of the most complex systems in the world:
Amazon's Fulfillment Network.

AFT Science designs, builds, and deploys optimization, statistics, machine learning, and GenAI/LLM solutions that power production systems across Amazon Fulfillment Centers worldwide. The team tackles a wide range of challenges across the network including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management.

• Develop deep understanding and domain knowledge of operational processes, system architecture, and business requirements.
• Dive deep into data and code to identify opportunities for continuous improvement and disruptive new approaches.
• Design and develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and emerging challenges.
• Create prototypes and simulations for agile experimentation of proposed solutions.
• Advocate for technical solutions with business stakeholders, engineering teams, and senior leadership.
• Partner with software engineers to integrate prototypes into production systems.
• Design and execute experiments to test new or incremental solutions launched in production.
• Build and monitor metrics to track solution performance and business impact.

• PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience.
• 3+ years of building models for business application experience.
• Experience programming in Java, C++, Python or related language.
• Relevant industry applied research experience in operations research, optimization, ML/AI, statistics, or an equivalent field.

• PhD with industry applied research experience and expertise in Operations Research, Optimization, ML/AI, Statistics, or an equivalent field.
• Experience with labor planning and staffing optimization problems.
• Proven track record of translating research into production systems and deploying production‑grade code.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, you can request accommodations through the Amazon Hiring Support.