Supply Chain Optimization Technologies (SCOT) at Amazon is seeking operations research scientists. SCOT owns Amazon's global inventory planning systems - we decide and optimize what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning, optimization and simulation systems. SCOT is unique in that we are simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, statisticians, software engineers in the business. Candidates
· PhD in operations research, industrial engineering, applied mathematics or a related area · Able to build quantitative mathematical models to represent a wide range of supply chain, transportation and logistics systems. · Able to implement these models and tools through the use of modeling languages and engineering codes in software languages. · Able to perform quantitative, economic, and numerical analysis of the performance of these systems under uncertainty using statistical and optimization tools to find both exact and heuristic solution strategies for optimization problems. · Have coding