Amazon's Modeling And Optimization Team Opportunity
Amazon's modeling and optimization (MOP) team seeks motivated individuals 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