Applied Scientist, Logistics Optimization & Modeling

Amazon; Bellevue (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Modeling and Optimization (MOP) team is seeking a highly analytical professional to optimize the global logistics network. The role focuses on data-driven simulation, optimization, and cost reduction across network design, inventory placement, and planning processes from Bellevue, WA.

Qualified candidates have 3+ years building business models or an advanced degree with relevant experience in CS/CE/ML, and strong programming skills in Java/C++/Python.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• 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

Responsibilities

• Enhance global logistics network efficiency through data-driven simulation and 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.

Skills

Java

C++

Python

Algorithms

Data structures

Numerical optimization

Parallel and distributed computing

Education

MS/PhD in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon's Modeling and Optimization (MOP) team is seeking a highly analytical professional to optimize the global logistics network. The role focuses on data-driven simulation, optimization, and cost reduction across network design, inventory placement, and planning processes from Bellevue, WA.

Qualified candidates have 3+ years building business models or an advanced degree with relevant experience in CS/CE/ML, and strong programming skills in Java/C++/Python.