New York, NY, US
119 days ago
Senior Economist, Compensation Science
The Central Science team within the People Experience and Technology organization is building economic models and algorithms from the ground up to design and scale pay for hundreds of thousands of Amazon employees worldwide. The fast-growing, interdisciplinary team is working at the intersection of economics, machine learning, and product development.

We are looking for an Economist who will provide structure to ambiguous and complex business problems, develop solutions to these problems using economics, econometrics, machine learning and other scientific approaches, work with engineers to scale and launch science models in product, and initiate high impact projects in the compensation space. A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders.

Economists at Amazon have access to engineering and econometric/machine learning tools and opportunities to learn new methods from world-class scholars.

Responsibilities:
- Own the development of economic models and econometric analyses
- Assist in the delivery of automated, scalable analytic models
- Work collaboratively with economists, scientists, and engineers on the team and across the organization
- Interpret and communicate results to global business stakeholders



About the team
The Central Science Team within Amazon’s 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, well-being, 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 open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Boston, MA, USA | Chicago, IL, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Simi Valley, CA, USA
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