Applied Scientist, Modeling and Optimization, Modeling and Optimization

About the role

Amazon's Modeling and Optimization (MOP) team seeks a motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations.

Responsibilities

• Enhance global logistics network efficiency through data‑driven optimization.
• Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation.
• Optimize capital investment through strategic fixed‑asset deployment planning.
• Develop metrics to quantify business impact of implemented solutions.
• Lead development of production‑ready algorithms and scientific tools for under‑the‑roof (UTR) and network process analysis and optimization.
• Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed.
• Manage customer interactions, promote science‑based processes, and incorporate customer needs into tool improvements.
• Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.
• Interact with and influence adjacent systems and tools, including those for long‑term operating policies and daily capacity planning.
• Blend scientific expertise with business acumen to deliver impactful solutions across the organization.

Basic Qualifications

• Experience programming in Java, C++, Python or a related language.
• PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or a related field.
• Experience applying theoretical models in an applied environment.

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self‑developed code.
• Publications at top‑tier peer‑reviewed conferences or journals.
• Experience designing experiments and conducting statistical analysis of results.

Benefits

• Health insurance (medical, dental, vision, prescription).
• Basic Life & AD&D insurance with optional 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

Base salary range: $136,000 – $184,000 USD annually (USA, WA, Bellevue). Compensation includes sign‑on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location.