Economist II, Stores Economics and Science (SEAS)

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

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

- 2 years of industry consulting government or academic research experience
- Knowledge of at least one statistical software package such as R Stata Matlab SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 136000.00 - 184000.00 USD annually


Required Experience:

IC

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 ...
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Key Skills

  • Forecasting
  • Python
  • Spss
  • R
  • Regression Analysis
  • Stata
  • Research Experience
  • Statistical Software
  • Survey Design
  • Calculus
  • SAS
  • Statistics

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