Have you ever ordered a product on Amazon and when that box with the smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it would have cost Amazon? If so, Amazon's Supply Chain Optimization Technologies (SCOT) team is for you. We build systems to peer into the future and estimate the distribution of tens of millions of products every week to Amazon's warehouses in the most cost-effective way. When customers place orders, our systems use real time, large scale optimization techniques to optimally choose where to ship from and how to consolidate multiple orders so that customers get their shipments on time or faster with the lowest possible transportation costs. This team is focused on saving hundreds of millions of dollars using cutting edge science, machine learning, and scalable distributed software on the Cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.
Fulfillment-by-Amazon (FBA) Inventory Optimization (FIO) is a relatively new team at Amazon's Supply Chain Optimization Technologies (SCOT). We focus on driving long term free cash flow by automating and optimizing our third-party supply chain. The team's efforts will address the key challenges facing the worldwide FBA Seller business, including 1) improving FBA Seller inventory efficiency, 2) efficiently balancing the supply and demand of FBA Seller capacity, 3) closing worldwide selection gap by enabling global selling profitability, and 4) driving out costs across the FBA supply chain to spin the flywheel. This is truly a unique problem space - optimizing for inventory in Amazon's pipeline when you don't control the process or own the inventory.
FIO is seeking an Applied Scientist to join its cross-functional team of data, applied and research scientists, economists, engineers, and product managers to utilize cutting edge optimization models, econometrics, machine-learning, and distributed software on the Cloud to build systems that automate and optimize inventory management under the uncertainty of demand, pricing and supply. We are recruiting a curious and creative Applied Scientist who will collaborate with other scientists and engineers to leverage new machine learning methods and algorithms for the modeling and analysis of data.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.