Principal Applied Scientist, Optimal Inventory Health
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About The Position
Amazon's Optimal Inventory Health (OIH) org in Supply Chain Optimization (SCOT) group is looking for a Principal Applied Scientist to optimize one of the most complex eCommerce systems in the world. The Optimal Inventory Health (OIH) drives long-term cash flow (LTFCF) growth by determining optimal inventory dispositions under uncertainties in demand, pricing, and supply across Amazon's 21 marketplaces global network. OIH is in the unique position within SCOT to drive the joint optimization across supply chain and marketing across the levers of Markdowns, Removals, Outlet, Deals, Sponsored Ads, and Paid Search etc. Our systems delivers hundreds of million dollar saving to Amazon each year. The Principal Applied Scientist will lead the science vision and implementation to optimize across inventory disposition channels and deliver best experience to Amazon customers through those levers. We are investing and building the next generation inventory disposition decision models based on cutting-edge technologies like Reinforcement learning, Causal inference, Deep Learning Prediction etc. Academic and/or practical background in Machine Learning and Operations Research are particularly relevant for this position. Experience in model-based engineering and/or multidisciplinary analysis & optimization is also a plus.
