Sr. Applied Science Manager, Stores Economics and Sciences

Amazon

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profile Job Location:

Seattle, OR - USA

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

Job Summary

The Stores Economics and Science (SEAS) team uses Economics Statistics and Machine Learning to understand and design the complex economy of Amazons network of buyers and sellers. We are an interdisciplinary team committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon.

We are looking for an outstanding science manager who is able to provide structure around complex business problems work with machine learning scientists to estimate and validate their models on large scale data and who can help business and tech partners turn the results of their analysis into policies programs and actions that have a major impact on Amazons business. We are looking for 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. Experience in applied economic analysis is essential and you should be familiar with modern tools for data science and business analysis.

- 10 years of building large-scale machine learning and AI solutions at Internet scale experience
- Masters degree in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- 10 years of practical work applying ML to solve complex problems for large-scale applications experience
- 5 years of hands-on work in big data machine learning and predictive modeling experience
- 5 years of people management experience
- PhD in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data machine learning and predictive modeling

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 - 218800.00 - 295900.00 USD annually


Required Experience:

Manager

The Stores Economics and Science (SEAS) team uses Economics Statistics and Machine Learning to understand and design the complex economy of Amazons network of buyers and sellers. We are an interdisciplinary team committed to use of cutting edge technology and leveraging the strengths of engineers an...
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