Economist, AWS Marketing Science

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

Amazon Web Services (AWS) is building a world-class marketing organization and we are looking for an experienced Economist to join the central data and science organization for AWS Marketing.

This candidate will develop innovative solutions to measure the return on marketing investments. They will work closely with business leaders scientists and engineers to translate business and functional requirements into concrete deliverables including the design development testing and deployment of innovative measurement solutions. They will interact with functional leaders owning events (e.g. re:Invent summits webinars) paid media (paid search paid social display) AWS-owned channels (email website console) as well as lead management organization to drive the development fine-tuning and adoption of the consistent measurement framework across these diverse initiatives.

We seek candidates with an entrepreneurial spirit who want to make a big impact on AWS growth. They will develop strong working relationships and thrive in a collaborative team environment. They will have the creativity curiosity and strong judgment to work on high-impact high-visibility products to improve the experience of AWS leads and customers.


Key job responsibilities
- Apply your expertise in causal inference and ML to develop systems to measure B2B marketing impact
- Develop and execute science products from concept prototype to production incorporating feedback from customers scientists and business leaders
- Identify new opportunities for leveraging economic insights and models in the marketing space
- Write technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds

- 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 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.

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 NY New York - 157300.00 - 212800.00 USD annually
USA TX Austin - 136000.00 - 184000.00 USD annually
USA VA Arlington - 136000.00 - 184000.00 USD annually
USA WA Seattle - 136000.00 - 184000.00 USD annually


Required Experience:

IC

Amazon Web Services (AWS) is building a world-class marketing organization and we are looking for an experienced Economist to join the central data and science organization for AWS Marketing.This candidate will develop innovative solutions to measure the return on marketing investments. They will wo...
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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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