Job ID: 1335736 | Amazon Advertising LLC


Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade.
The Global Advertising Partner Development (GAPD) Economics team is looking for an experienced and motivated Economist that quickly can approach highly ambiguous problems. You will get the opportunity to apply your economic expertise to identify opportunities for further research and provide insights that drive larger initiatives. You will be a key contributor in developing economic insights and building analytical solutions for our advertising partners and advertisers. Key responsibilities include:
· Partnering with economists, scientists, developers, and senior team members to drive science and implement technical solutions using econometrics and machine learning
· Develop insights around key business drivers for advertising partners
· Contribute to building a scalable experimental framework that helps stakeholders make data-driven informed decisions
· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations


· PhD in Economics
· 2+ years of work experience in applied statistics, econometrics, or consulting
· Experience working with big datasets
· Experience in using one of Stata, R, or Python is required
· Excellent written and oral communication skills


· Applicants with considerably more experience, including mid-career, are also strongly encouraged to apply
· Experience working with tech teams to launch production models and to conduct experiments at scale
· Proficiency in one or more production languages (Python, Scala, Java, C++)
· Experience presenting to senior business leaders