Economist II, AET Planning and Analytics
Economist II, AET Planning and Analytics
Posted on :
18-06-2025
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1 Vacancy
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Job Description
Are you interested in applying Econometric and Machine Learning techniques to solve business problems in the worlds most scientific people experience and technology organization
The Amazonian Experience and Technology (AET) Planning and Analytics team is looking for a passionate Economist with strong analytical and communication skills to support our goal of becoming the most scientific people experience and technology organization in the world. The team is responsible for developing scientific forecasting solutions to increase the efficiency and quality of services provided to Amazons growing workforce. This includes forecasting demand analyzing the causal impact of new events and policies on our services and building automated solutions using state of the art statistical and machine learning techniques.
We are looking for a motivated economist with strong analytical skills who desires to work at the intersection of economics machine learning and operations research. In this role you will be involved in time series forecasting leveraging correlation and causal analyses to understand the impact of different variables on our operations as well as in determining the optimal allocation of resources across service areas. You will partner with Economists Data Scientists and Engineers to constantly innovate on behalf of our employees.
- PhD in economics or equivalent
- 2 years of industry consulting government or academic research experience
- Experience in prediction and forecasting in a research or industrial environment
- Experience in implementing modern machine-learning methods (e.g. boosted regression trees random forests neural networks)
- Experience with handling of large datasets
- Knowledge of at least one statistical software package such as R Stata Matlab SAS
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
The Amazonian Experience and Technology (AET) Planning and Analytics team is looking for a passionate Economist with strong analytical and communication skills to support our goal of becoming the most scientific people experience and technology organization in the world. The team is responsible for developing scientific forecasting solutions to increase the efficiency and quality of services provided to Amazons growing workforce. This includes forecasting demand analyzing the causal impact of new events and policies on our services and building automated solutions using state of the art statistical and machine learning techniques.
We are looking for a motivated economist with strong analytical skills who desires to work at the intersection of economics machine learning and operations research. In this role you will be involved in time series forecasting leveraging correlation and causal analyses to understand the impact of different variables on our operations as well as in determining the optimal allocation of resources across service areas. You will partner with Economists Data Scientists and Engineers to constantly innovate on behalf of our employees.
- PhD in economics or equivalent
- 2 years of industry consulting government or academic research experience
- Experience in prediction and forecasting in a research or industrial environment
- Experience in implementing modern machine-learning methods (e.g. boosted regression trees random forests neural networks)
- Experience with handling of large datasets
- Knowledge of at least one statistical software package such as R Stata Matlab SAS
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
Employment Type
Full-Time
Key Skills
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