Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecast team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering these questions using statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and deploy automated software solutions to provide forecasting insights to business leaders at the most senior levels throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions. This Data Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility
§ MS in a quantitative discipline such as Statistics, Mathematics, Physics, Engineering, Computer Science or Economics § 4+ years work experience § Proficiency in at least one statistical software package such as R, Stata, Matlab, or Python § Experience with object-oriented programming languages § Expertise using SQL for acquiring and transforming data § Outstanding quantitative modeling and statistical analysis skills § Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences