Applied Scientist: Global Logistics Optimization & Modeling

Amazon; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Modeling and Optimization (MOP) team seeks a highly analytical professional to optimize the global logistics network and its operations. You will develop production-ready algorithms and tools, drive planning decisions, and collaborate with customers to tailor solutions across the organization.

The role emphasizes strong programming skills in Java/C++/Python, a PhD in a relevant field, and applying theoretical models to real-world problems in a fast-paced environment.

Qualifications

• PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics or related fields.
• Experience applying theoretical models in an applied environment.
• Experience implementing algorithms using both toolkits and self-developed code.

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 network analysis and optimization.
• Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed.
• Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.

Skills

Java

C++

Python

Education

PhD in Engineering/CS/ML/OR/Statistics

Job description

Amazon's Modeling and Optimization (MOP) team seeks a highly analytical professional to optimize the global logistics network and its operations. You will develop production-ready algorithms and tools, drive planning decisions, and collaborate with customers to tailor solutions across the organization.

The role emphasizes strong programming skills in Java/C++/Python, a PhD in a relevant field, and applying theoretical models to real-world problems in a fast-paced environment.