Applied Scientist II, US Prime and Marketing Tech

Amazon

Not Interested
Bookmark
Report This Job

profile Job Location:

Seattle, OR - USA

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

Job Summary

Are you excited to help customers discover the hottest and best reviewed products
The Discovery Tech team helps customers discover and engage with new popular and relevant products across Amazon worldwide. We do this by combining technology science and innovation to build new customer-facing features and experiences alongside advanced tools for marketers. You will be responsible for creating and building critical services that automatically generate target and optimize Amazons cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models you will help to deliver the best possible shopping experience for Amazons customers all over the globe.

We are looking for analytical problem solvers who enjoy diving into data excited about data science and statistics can multi-task and can credibly interface between engineering teams and business stakeholders. Your analytical abilities business understanding and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design development testing and deployment of data-driven and highly scalable machine learning solutions in product recommendation.

As an Applied Scientist you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design clarity model structure efficiency and extensibility. You tackle intrinsically hard problems acquiring expertise as needed. You decompose complex problems into straightforward solutions.

To know more about Amazon science please visit

- PhD or Masters degree and 1 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience building machine learning models or developing algorithms for business application

- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF

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


Required Experience:

IC

Are you excited to help customers discover the hottest and best reviewed productsThe Discovery Tech team helps customers discover and engage with new popular and relevant products across Amazon worldwide. We do this by combining technology science and innovation to build new customer-facing features...
View more view more

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

Company Logo

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more

View Profile View Profile