The Optimal Inventory Health (OIH) group within Amazon's Supply Chain Optimization Technologies (SCOT) organization owns optimizing the value of inventory worldwide across all Amazon businesses. Every day, we look at every item sold by Amazon and our Selling Partners worldwide to determine if we should leave the inventory to be sold as is, mark it down, return to the vendor, liquidate, or take a number of other actions such as marketing. Making these decisions at scale and in a way that maximizes the economic potential of the inventory requires sophisticated optimization, ML, and economics. Further, as we grow larger, what we eventually do with inventory touches a number of other decisions in the supply chain, such as how much to buy, where to place it, and capacity planning.
We are looking for an industry-leading senior scientist to help shape the future of OIH. You will play an integral role in envisioning how OIH should model and plan activities across multiple inventory disposition channels to maximize the long term value of Amazon's and Sellers' inventory. You will use large-scale optimization and machine learning models to drive actions such as website pricing markdowns and deals, as well as driving customers to find the products they want through channels such as advertisements and the Amazon Outlet Store. You will figure out how OIH's actions impact a complex set of dependencies across other systems and how their optimization models should change as a result of the innovation in OIH. The role requires not just technical skills but high judgement in developing mathematical solutions working backward from business requirements, and forging a structured path through significant scientific complexity and ambiguity.
As a Principal Scientist, we will expect you to be a leader, and the opportunity we will give you is to work with some of the best product managers, research scientists, statisticians, economics and software engineers in the business to have unparalleled impact on Amazon, its selling partners and its customers.
• Ph.D. in Machine Learning, Statistics, Operations Research, Applied Mathematics, Computer Science or a related field
• 10+ years of experience in applying machine learning and/or optimization to complex problems in academia or industry
• Hands-on experience using Java, C++, or other programming language, as well as with R, Python or similar scripting language
• Demonstrated ability to serve as a technical leader
• Excellent communication skills, both written and oral with both technical and business people
• Ability to work with multi-disciplinary teams across machine learning, operations research, economists, and statisticians
• Ability to work closely with software engineers and product managers
• Algorithm and model development experience for large-scale applications
• Experience with defining and leading research agenda for ambiguous business problems
• Professional traits that are not unique to this position, but necessary for Amazon leaders: Exhibits excellent judgment; Has relentlessly high standards; Thinks strategically, but stays on top of tactical execution; Expects and requires innovation of her/his team; Thinks big and has convictions; Results oriented; Has the innate ability to inspire passion in others
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