Amazon Prime is looking for a talented Economist to help manage our ever growing information needs and support analysis of increasingly complex business questions. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos and music, in an expanding number of international marketplaces. The Economist role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management. As an Economist within Amazon Prime, you will build a foundational econometrics used to help Prime plan company-wide investments in Prime. To do so, you will work closely with a team of structural and theoretical econometricians, applied and research scientists, and business and software development teams, along with Amazon Scholars (leading academic scientists from major universities). You will propose and estimate novel statistical and econometric models at the scientific frontier of time series statistics, structural econometrics, and machine learning. You will directly inform large-scale strategic decisions about how to improve the Prime membership, in partnership with senior scientific and business leaders. You will serve as a science leader across our worldwide science teams (now spanning pods within multiple marketplaces). You will utilize and enhance massively parallelized scientific computing paradigms, in partnership with our scientific software teams. This position is unique in its exposure to senior members of the Prime team and other Amazon business units. The successful candidate will have demonstrated capacity for successfully building, estimating, and defending causal statistical models using software such as R, Python, Scala, or the equivalent, as well as how to create production-quality scientific software. Knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. The role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members. It can scale as both a large-scope individual contributor role, or as a manager role, depending on candidate skillset and career aspirations. Location options for this position include Seattle, WA, Chicago, IL, and Arlington, VA.
April 30, 2024Using causal random forests and Bayesian structural time series to extrapolate from sparse data ensures that customers get the most useful information as soon as possible.
