The Economic Technology team (ET) is looking for a Senior Applied Scientist to join our team in building Reinforcement Learning solutions at scale. The ET applies Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. 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. You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL,
· 5+ years of combined academic and research experience · PhD in Machine Learning, Computer Science, Statistics, Operations Research, or related field · Excellent communication, writing and presentation skills · Experience in designing analytic and/or algorithmic solutions to business or operational problems · Significant hands-on experience with at least two programming languages. · Ability to develop in Spark and Scala · Ability to deliver under tight deadlines. · Demonstrated ability to serve as a technical lead· Deep knowledge of probabilistic machine learning · Experience developing software