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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 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.