The Economic Technology team (ET) is looking for an outstanding Senior Applied Scientist who is proficient in Machine Learning and search relevance algorithms. The team integrates knowledge on causal Inference, and Econometric/Economic Methodologies to derive actionable insights that change the search results towards improving the long term engagement of our customers. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon. This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), and deep learning to deliver significant impact for the business.
You will work closely with Scientists, Economists and Engineers to architect & implement solutions that handle large volumes of data.You will drive actions that scale across Amazon's E-commerce business while working on complex problems arising from Amazon's 3P and Retail economy. This is a unique, high visibility opportunity for someone to have a large business impact, dive deep into large-scale business problems and, enable measurable actions on the consumer economy.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.