The Central Science Team within Amazons People Experience and Technology org (PXTCS) uses economics behavioral science statistics and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives wellbeing and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
We are looking for a Principal Economist who is able to provide structure around complex business problems hone those complex problems into specific scientific questions and test those questions to generate insights. The ideal candidate will work with various science engineering operations and analytics teams to estimate models and algorithms on large scale data design pilots and measure their impact and transform successful prototypes into improved policies and programs at scale. They will lead research projects to produce robust objective research results and insights which can be communicated to a broad audience inside and outside of Amazon.
Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work well in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis modeling and experimentation that is necessary for estimating and validating models. They will be customercentric clearly communicating scientific approaches and findings to business leaders listening to and incorporate their feedback and delivering successful scientific solutions.
About the team
The Central Science Team within Amazons People Experience and Technology org (PXTCS) uses economics behavioral science statistics and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives wellbeing and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
PhD in economics statistics quantitative marketing or related field.
10 years of professional experience working with large data sets understanding of statistical analysis modeling techniques data mining and business and/or public policy analysis.
Proven track record in research and solution of business problems leveraging techniques from economics or related disciplines.
Demonstrable experience in any of the following areas of applied economics (multiple areas preferred): reducedform causal analysis predictive modeling and causal ML algorithms forecasting hazard models health and insurance economics education economics labor economics and behavioral economics designing and administering largescale social science surveys.
Demonstrated ability to communicate research to clients in business and/or public policy.
Strong publication and presentation record in toptier economic public policy statistical or ML publications and conferences.
Excellent written and oral communication skills with technical business and public policy people and ability to speak at a level appropriate for the audience.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170500/year in our lowest geographic market up to $294700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.