Applied Scientist II: Fulfillment Optimization & ML

Amazon Inc.; Factoria (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon.com Services LLC is seeking an exceptional Applied Scientist for the Amazon Fulfillment Technologies (AFT) Science team. You will develop production optimization models and simulations, create prototypes, and partner with engineers to deploy solutions across the Fulfillment Network.

The role emphasizes domain knowledge of operations, data-driven experimentation, and collaboration with senior leadership to drive impact in a large-scale, dynamic environment.

Qualifications

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

Responsibilities

• Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements.
• Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach.
• Develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and new challenges.
• Create prototypes and simulations for agile experimentation of devised solutions.
• Advocate technical solutions to business stakeholders, engineering teams, and senior leadership.
• Partner with engineers to integrate prototypes into production systems.
• Design experiment to test new or incremental solutions launched in production and build metrics to track performance.

Skills

Java

C++

Python

Operations research

Optimization

Machine learning

Education

PhD

Master's degree

Job description

Amazon.com Services LLC is seeking an exceptional Applied Scientist for the Amazon Fulfillment Technologies (AFT) Science team. You will develop production optimization models and simulations, create prototypes, and partner with engineers to deploy solutions across the Fulfillment Network.

The role emphasizes domain knowledge of operations, data-driven experimentation, and collaboration with senior leadership to drive impact in a large-scale, dynamic environment.