Amazon.com Services LLC
Technology
AppliedScientistII,AmazonFulfillmentTechnology(AFT)Science
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II, Amazon Fulfillment Technology (AFT) Science at Amazon.com Services LLC. Skills: Operations Research, Optimization, Machine Learning, GenAI/LLM. Develop understanding of operational processes. Develop understanding of system architecture”
What You'll Achieve.
Develop production solutions; Exceed state of the art; Run systems optimally; Impact process efficiency; Impact associate experience
Industry & Context.
Optimization; Mathematical modeling
What They're Looking For.
Must Have
Master's degree and 4+ years experience, PhD or Master's degree and 4+ years science, 3+ years building models, Experience programming in Java, Experience programming in C++, Experience programming in Python, Relevant industry applied research experience
Nice to Have
PhD with industry applied research, Experience with labor planning, Experience with staffing optimization
What You'll Do.
Develop understanding of operational processes
Develop understanding of system architecture
Develop understanding of business requirements
Identify opportunities for improvement
Design scalable mathematical models
Develop scalable mathematical models
Advocate for technical solutions
Partner with software engineers
Integrate prototypes into production
How You'll Work.
Team & Collaboration
Collaborate with scientists; Collaborate with software engineers; Collaborate with product managers; Collaborate with operations leaders
Communication Scope
Advocate for technical solutions
Full Job Description
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. Key job responsibilities As an Applied Scientist, you will collaborate with scientists, software engineers, product managers, and operations leaders to develop optimization-driven solutions that directly impact process efficiency and associate experience in the fulfillment network. Your key responsibilities include: - 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 t
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