Principal Applied Scientist - Machine Learning

Job description

DESCRIPCIÓN

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.

In Prediction Services we use cutting-edge machine learning and scalable distributed software in the Cloud to predict flows of products between our warehouses world-wide and distribute tens of millions of products every week in the most cost-effective way. Our forecasts are used to pro-actively shift capacity between nodes in Amazon's logistics network and ensure that our customers get their shipments on time with the lowest possible transportation costs. We do this for Amazon Retail and are scaling our systems to handle multiple Amazon business tenants with several businesses in our pipeline.

We are looking for an experienced Principal Applied Scientist who relishes the opportunity to develop novel machine learning approaches and apply them at Amazon's scale. You will provide strategic leadership for other Applied Scientists and collaborate with Researchers across SCOT to understand the current challenges in our space and tackle supply chain optimization problems that no one else has solved yet. We expect you to deliver new capabilities to Amazon's WorldWide supply chain working with engineers and other Applied Scientists on the team to productionize, scale, and deploy your models worldwide.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age