Applied Scientist II, Machine Learning at Amazon

Applied Scientist II, Machine Learning Details

April 24, 2019, 11:13 a.m.
Machine Learning Science
Seattle, Washington
Technologies (SCOT) team Amazon? If so,
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

· PhD in a quantitative field such as Mathematics, Statistics, Machine Learning, Operational Research, Computer Science and 2+ years of industry experience OR MS in a quantitative field and 4+ years of experience · Hands-on experience in statistics, forecasting, and predictive modeling · Proficiency working with R, Python and other high-level languages like Java/C++ · Experience with fast prototyping · Strong fundamentals in problem solving, algorithm design and complexity analysis · Strong communication and data presentation skills· PhD in Computer Science, Statistics, Machine Learning, or a related
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