Senior Applied Scientist, Price Perception and Evaluation Science

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Amazons Price Perception and Evaluation team is seeking a driven Senior Applied Scientist to harness planet scale multi-modal datasets and navigate a continuously evolving competitor landscape in order to build and scale an advanced self-learning scientific price estimation and product understanding system regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.

The Senior Applied Scientist will work closely with other research scientists machine learning experts and economists to design and run experiments research new algorithms and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.



Key job responsibilities
Key job responsibilities
- Research and use of statistical techniques to create scalable solutions for business problems.
- Design build and deploy effective and innovative ML solutions to provide low prices and increased selection for customers using scientifically-based methods and decision making.
- Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
- Establish scalable efficient automated processes for large scale data analyses model development validation and implementation.
- Mentor junior applied machine learning scientists & researchers.
- Publish and present your work at internal and external scientific venues.

- 5 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- 3 years of building machine learning models for business application experience
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Usage of generative AI tools to enhance workflow efficiency with a willingness to learn effective prompting and evaluation practices
- Ability to recognize opportunities where generative AI could enhance products workflows or customer experiences

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 - 167100.00 - 226100.00 USD annually


Required Experience:

Senior IC

Amazons Price Perception and Evaluation team is seeking a driven Senior Applied Scientist to harness planet scale multi-modal datasets and navigate a continuously evolving competitor landscape in order to build and scale an advanced self-learning scientific price estimation and product understanding...
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Key Skills

  • Laboratory Experience
  • Mammalian Cell Culture
  • Biochemistry
  • Assays
  • Protein Purification
  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Flow Cytometry

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