Economist, GMAC Economics
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you excited about using econometrics and statistics to impact real-world business decisions We are looking for an Economist to build innovative solutions based on econometrics experimentation and machine learning helping us to answer challenging and impactful business problems for Prime Video with ads.
If you have an entrepreneurial spirit you know how to deliver results fast and you have a deeply quantitative highly innovative approach to solving problems and long for the opportunity to build pioneering solutions to challenging problems we want to talk to you.
Key job responsibilities
Leverage causal inference methods to estimate the impact of large-scale investments ex post
Develop advanced structural demand and econometric frameworks for products and services
Collaborate with other scientists at Amazon to deliver measurable progress and change
Influence business leaders based on empirical findings
A day in the life
You will work as an individual contributor working on a mix of complex strategic long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community.
About the team
The Entertainment Economics team consists of PhD-trained structural and causal-inference Economists data scientists and data engineers. We are an high-impact team driving decision-making in areas including Prime Video Ads Music and marketing measurement.
- PhD in Economics or a related field
- Strong proficiency in at least one of the following statistical software packages: Python R Stata or Matlab
- Proven track record in research and solution of business problems leveraging techniques from economics or related disciplines. Strong writing skills Advanced coding ability in a scripting language such as STATA R and/or Python Demonstrable experience in any of the following areas of applied economics (multiple areas preferred): reduced-form causal analysis predictive modeling and causal ML algorithms forecasting hazard models labor economics health and insurance economics education economics behavioral economics designing and administering large-scale social science surveys.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
If you have an entrepreneurial spirit you know how to deliver results fast and you have a deeply quantitative highly innovative approach to solving problems and long for the opportunity to build pioneering solutions to challenging problems we want to talk to you.
Key job responsibilities
Leverage causal inference methods to estimate the impact of large-scale investments ex post
Develop advanced structural demand and econometric frameworks for products and services
Collaborate with other scientists at Amazon to deliver measurable progress and change
Influence business leaders based on empirical findings
A day in the life
You will work as an individual contributor working on a mix of complex strategic long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community.
About the team
The Entertainment Economics team consists of PhD-trained structural and causal-inference Economists data scientists and data engineers. We are an high-impact team driving decision-making in areas including Prime Video Ads Music and marketing measurement.
- PhD in Economics or a related field
- Strong proficiency in at least one of the following statistical software packages: Python R Stata or Matlab
- Proven track record in research and solution of business problems leveraging techniques from economics or related disciplines. Strong writing skills Advanced coding ability in a scripting language such as STATA R and/or Python Demonstrable experience in any of the following areas of applied economics (multiple areas preferred): reduced-form causal analysis predictive modeling and causal ML algorithms forecasting hazard models labor economics health and insurance economics education economics behavioral economics designing and administering large-scale social science surveys.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Forecasting
- Python
- Spss
- R
- Regression Analysis
- Stata
- Research Experience
- Statistical Software
- Survey Design
- Calculus
- SAS
- Statistics
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
