Applied Scientist, Operations Research, Modeling and Optimization (MOP)

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 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

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 ...