Economics Technology team Economics Technology team
The Economics Technology team (ET) applies Machine Learning, Causal Inference, and Econometric/Economic Methodologies 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. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. If you are interested in Machine Learning, Reinforcement Learning, large-scale, low-latency distributed systems and can build the software that use the models, this is the role you have been looking for. We are a Day 1 team, with a charter to
· Bachelor’s Degree in Computer Science or related field · Computer Science fundamentals in object-oriented design · Computer Science fundamentals in data structures · Computer Science fundamentals in algorithm design, problem solving, and complexity analysis · Proficiency in, at least, one modern programming language such as Java, C++, C#· Experience building large-scale machine-learning models · Experience with Big Data technologies such as AWS, Hadoop, Spark · Experience building complex software systems that have been successfully delivered to customers · Knowledge of professional software