Applied Scientist, Amazon Retail Ad Service (Sponsor Products & Brands)

Amazon

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

Key job responsibilities
Collaborate with business engineering and science leaders to establish science optimization and monetization roadmap for Amazon Retail Ad Service
Drive alignment across organizations for science engineering and product strategy to achieve business goals
Lead/guide scientists and engineers across teams to develop test launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon advertisers and third party retailers
Develop state of the art experimental approaches and ML models to keep up with our growing needs and diverse set of customers.
Participate in the Science hiring process as well as mentor other scientists - improving their skills their knowledge of your solutions and their ability to get things done.

About the team
Amazon Retail Ad Service within Sponsored Products and Brands is an ad-tech solution that enables retailers to monetize their online web and app traffic by displaying contextually relevant sponsored products ads.

Our mission is to provide retailers with ad-solution for every type of supply to meet their advertising goals. At the same time enable advertisers to manage their demand across multiple supplies (Amazon offsite third-party retailers) leveraging tools they are already familiar with.

Our problem space is challenging and exciting in terms of different traffic patterns varying product catalogs based on retailer industry and their shopper behaviors.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 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 using Unix/Linux
- Experience in professional software development

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. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.



CAN ON Toronto - 149300.00 - 249300.00 CAD annually


Required Experience:

IC

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising ex...
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Key Skills

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

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