Applied Scientist, Modeling and Optimization

About the role

Amazon’s Modeling and Optimization (MOP) Team is looking for a passionate individual with strong optimization and analytical skills to join us in the endeavor of designing and improving the most complex transportation and fulfillment network in the world. The team is responsible for optimizing the global transportation and fulfillment network for Amazon.com and ensuring that the company is able to deliver our customers’ products to them as quickly, accurately, and cost‑effectively as possible. We design the network that delivers products from vendors and sellers to end customers, through both Amazon’s internal network as well as external partners, using multiple transportation modes. Optimizing the end‑to‑end network requires deep understanding of inventory management, placement, transportation, and supply chain management. Only through innovative and strategic thinking will we make the right capital investments in technology, buildings and equipment that allow for long‑term success.

Responsibilities

• Develop and deploy innovative, scalable models and tools to solve new challenges in Amazon's global fulfillment network.
• Collaborate with other scientists across teams to create integrated solutions that improve fulfillment speed, cost, and carbon emissions.
• Provide scientific analysis to support business decisions using a range of methodologies.
• Design science tool platforms, deploy models, create data pipelines, or simplify existing processes.

Basic Qualifications

• 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.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self‑developed code.

Benefits

• Health insurance (medical, dental, vision, prescription).
• Basic Life & AD&D insurance and option for supplemental life plans.
• Employee Assistance Program (EAP) and mental health support.
• Medical advice line.
• Flexible Spending Accounts.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off.
• Parental leave.

Pay

USA, WA, Bellevue – $142,800.00 – $193,200.00 USD annually. Compensation includes sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.