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 and implement
·A PhD in CS machine learning, Statistics, Physics, Applied Math or in a highly quantitative field · 7+ years of hands-on experience in predictive modeling and large data analysis · Experience with modeling tools such as R, scikit-learn, MxNet, Tensorflow, numpy, scipy etc. · Communication and data presentation skills · Knowledge in search relevance tools. · 10+ years of industry experience in predictive modeling and large data analysis · Experience building tools that perform large scale data analysis · Experience solving complex business solutions using Machine Learning · Experience with large