Applied Scientist II, Amazon Fulfillment Technology (AFT) Science

Amazon • Bellevue, WA

2d

About The Position

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.

At AFT Science, we design, build, and deploy optimization, statistics, machine learning, and GenAI/LLM solutions that power production systems running across Amazon Fulfillment Centers worldwide. We tackle a wide range of challenges throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. Our mission is to develop innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run optimally and continuously (from every few minutes to every few hours) across our large-scale network.

Requirements

• 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

Nice To Haves

• Experience in data analysis and leveraging analytics to make decisions
• 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

Responsibilities

• 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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree