Economist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Key job responsibilities
Use reduced-form causal analysis and/or structural economic modeling methods to evaluate the impact of policies on employee outcomes, and examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent.
A day in the life
Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.
About The Team
We are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Boston, MA, USA | Seattle, WA, USA
Basic Qualifications
- PhD in economics or equivalent
- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
- Preferred Qualifications
- Experience in a postdoctoral position, consulting position, government position or academic research
- Experience with SQL
- 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): reduced-form causal analysis, structural estimation, predictive modeling and causal ML algorithms, forecasting, labor economics, health and insurance economics, education economics
- Strong writing skills
- Advanced coding ability in a scripting language such as Python
- Experience working with large data sets
Employment Type
Full Time
Company Industry
Department / Functional Area
Software Development / Application Development (IT Software)
