Overview
Amazon's Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations. Key job 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 A day in the life 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,
Full job description
Full Job Description
Amazon's Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations.
Key job 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
A day in the life
- 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 related language
- PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
Requirements & qualifications
Experience programming in Java, C++, Python or related language PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields Experience applying theoretical models in an applied environment
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Public Amazon careers search record with employer description and structured locations.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Amazon Com Opportunities ↗Browse current Job and Scholarship listings from Amazon Com Opportunities →
