AS II Profitability Sci, Profit Intelligence

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

Profit Intelligence (PI) team in Amazon owning Amazons core profitability prediction system is looking for an ambitious Senior Applied Scientist to build the next generation of profitability science for Amazon.

As an AS II in PI you will partner closely with science leadership business stakeholders applied scientists economists and engineers to solve key business problems that are at the core of economic prediction and cost optimization for Amazon empowering downstream teams to make high-velocity high-quality profitability decisions for both short term and long term. You will utilize massive data state-of-the-art scientific computing econometrics time-series forecasting and machine-learning etc. to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists applied scientists business analysts data engineers product managers and software engineers. The team is unique in its exposure to company-wide strategies and operates at the research frontier of utilizing data machine-learning artificial intelligence to inform business profitability strategies.



Key job responsibilities
1) Design implement test deploy and maintain innovative data and machine learning solutions to accelerate our business. Candidate should show a tracking record of delivering projects well and on-time preferably in collaboration with other team members (e.g. co-authors).
2) Experiments and prototype implementations of new machine learning algorithms and prediction techniques with a capacity for dealing with a high-level of ambiguity.
3) Partners with scientists engineers product managers and stockholders to use data and model driven approach to influence business decisions
4) Influence the team to adopt cutting edge technologies and machine learning best practices to ensure a high standard of quality for all of the team deliverables

- 2 years of building models for business application experience
- PhD or Masters degree and 5 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience in prediction and forecasting in a research or industrial environment

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 - 142800.00 - 193200.00 USD annually

Profit Intelligence (PI) team in Amazon owning Amazons core profitability prediction system is looking for an ambitious Senior Applied Scientist to build the next generation of profitability science for Amazon. As an AS II in PI you will partner closely with science leadership business stakeholders...
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Key Skills

  • All-Source Intelligence
  • Military Intelligence
  • GIS
  • ICD Coding
  • Intelligence Experience
  • Military Experience
  • Analysis Skills
  • Microsoft Powerpoint
  • Joint Operations
  • Intelligence Analysis
  • Leadership Experience
  • Writing Skills

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