About the role
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.<br/><br/>Key job responsibilities<br/>- Enhance global logistics network efficiency through data-driven simulation and optimization<br/>- Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation<br/>- Optimize capital investment through strategic fixed asset deployment planning<br/>- Develop metrics to quantify business impact of implemented solutions<br/><br/>A day in the life<br/>- Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization<br/>- Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed.<br/>- Manage customer interactions, promote science-based processes, and incorporate customer needs into tool improvements. <br/>- Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.<br/>- Interact with and influence adjacent systems and tools, including those for long-term operating policies and daily capacity planning.<br/>- Blend scientific expertise with business acumen to deliver impactful solutions across the organization.