Senior Economist, Stores Economics and Science (SEAS)
Senior Economist, Stores Economics and Science (SEAS)
Posted on :
07-10-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 143300 - 247600
Vacancy
1 Vacancy
Posted on :
07-10-2025
Job Description
The Stores Economics and Science (SEAS) team is an interdisciplinary science and economics team whose mission is to solve high-risk high-return problems for the Stores organization. We leverage frontier science partner with teams across Amazon and learn from the tools experience and perspectives of others. Our work spans rapid responses to pressing leadership questions collaborative partnerships to help other teams achieve their goals and multi-year scientific bets with large upside potential.
We are looking for an economist who can use data-driven modeling and analyses to make the right trade-offs and solve impactful business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others and who know how to execute and deliver on big ideas.
In this role you will contribute to SEAS mission in two key ways. First you will leverage your economic expertise to help design and validate scientific solutions for pressing business challenges. This will involve applying advanced analytical techniques conducting rigorous data analysis and proactively proposing high-impact initiatives that can be rapidly prototyped and scaled. Secondly you will play a crucial role in translating complex economic models and insights into actionable recommendations that directly inform leadership decisions across the organization. This will require strong communication skills to effectively collaborate with cross-functional partners and drive meaningful change.
Key job responsibilities
- Collaborate with cross-functional partner teams to understand their challenges and translate them into rigorous economic frameworks that can be addressed through data analysis modeling and experimentation.
- Own the end-to-end development of economic models and analyses including conducting necessary data gathering analysis and validation to drive actionable insights and
- Effectively communicate your economic findings models and proposed solutions to senior business stakeholders incorporating their feedback to refine your work.
- PhD in economics or equivalent
- Experience in industry consulting government or academic research
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in building statistical models using R Python STATA or a related software
- Experience in building analytic or scientific data products or solutions
- Experience with machine learning models
- Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership
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 $143300/year in our lowest geographic market up to $247600/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.
We are looking for an economist who can use data-driven modeling and analyses to make the right trade-offs and solve impactful business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others and who know how to execute and deliver on big ideas.
In this role you will contribute to SEAS mission in two key ways. First you will leverage your economic expertise to help design and validate scientific solutions for pressing business challenges. This will involve applying advanced analytical techniques conducting rigorous data analysis and proactively proposing high-impact initiatives that can be rapidly prototyped and scaled. Secondly you will play a crucial role in translating complex economic models and insights into actionable recommendations that directly inform leadership decisions across the organization. This will require strong communication skills to effectively collaborate with cross-functional partners and drive meaningful change.
Key job responsibilities
- Collaborate with cross-functional partner teams to understand their challenges and translate them into rigorous economic frameworks that can be addressed through data analysis modeling and experimentation.
- Own the end-to-end development of economic models and analyses including conducting necessary data gathering analysis and validation to drive actionable insights and
- Effectively communicate your economic findings models and proposed solutions to senior business stakeholders incorporating their feedback to refine your work.
- PhD in economics or equivalent
- Experience in industry consulting government or academic research
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in building statistical models using R Python STATA or a related software
- Experience in building analytic or scientific data products or solutions
- Experience with machine learning models
- Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership
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 $143300/year in our lowest geographic market up to $247600/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
