Principal Applied Scientist at Amazon

Principal Applied Scientist Details

Dec. 15, 2018, 4:05 a.m.
Machine Learning Science
team-technology
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. Amazon’s Supply

The ideal candidate will have the following optimization experience and skills: · Ph.D. in Machine Learning, Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals. · At least 15 years of experience in solving complicated optimization and machine learning problems · Experience designing and implementing transportation optimization models with focus on volume and route planning and re-planning; labor and facilities planning. · Excellent communication skills, both written and oral with both technical and business people. Ability to speak
Learn more about this job

Similar jobs at Amazon




Similar jobs at Microsoft





Website managed by Tommy Unger