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Amazon Scholar

location icon US, Virtual
The FBA Science team builds the scientific capabilities required to manage Amazon supply chain and fulfillment resources effectively at scale, while ensuring FBA sellers build and grow their businesses. Growing scope, diversity, and scale of the FBA business problems require our team to have significant breadth and depth across scientific knowledge and tool sets. We are problem driven and therefore organize around key work streams. This enables us to build and implement science solutions that are not limited to one specific discipline but instead are at the intersection of operations research (OR), machine learning (ML), economics, statistics, data analytics, and management science. We are also a centralized science team to ensure solutions consider the interdependency of end-to-end FBA systems, products, and policies as well as the coordination with SCOT, AFT, and DEX systems. Such inter-system integration must incorporate FBA’s unique supply patterns brought by, for example, different inventory ownership, the large seller base and the large volumes of tail ASINs. Given these considerations, we organize our deliverables across seven workstreams: capacity management, inventory network management, forecasting and analytics, system and policy performance, seller recommendations and assistance, seller experience, and inventory defects and reimbursements. Each of these workstreams employs a wide range of scientific methodologies to solve the problems.

We are open to hiring candidates to work out of one of the following locations:

Virtual Location - TX | Virtual Location - USA
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Publication date: 2024-04-04
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