Applied Scientist , Sponsored Products
Applied Scientist , Sponsored Products
Posted on :
07-06-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
07-06-2025
Job Description
Amazon Advertising is one of Amazons fastest growing and most profitable businesses. As a core product offering within our advertising portfolio Sponsored Products (SP) helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The SP teams primary goals are to help shoppers discover new products they love be the most efficient way for advertisers to meet their business objectives and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Detail Page Discovery Experiences team is chartered with inventing and building engaging product recommendation experiences in Amazon Product Detail Pages. We push the innovation frontiers for our hundreds of millions of customers WW to aid product discovery while helping shoppers to find relevant products easily. Our team is building differentiated recommendations and utilizing cutting-edge machine learning techniques in the domain of natural language processing (NLP) and Transformer deep learning reinforcement learning and Generative AI to provide delightful shopping experiences and deliver significant impact for the business.
We are looking for an Applied Scientist who can delight our customers by continually learning and inventing. Our ideal candidate is an experienced Applied Scientist who has a track-record of performing deep analysis and is passionate about applying advanced ML and statistical techniques to solve real-world ambiguous and complex challenges to optimize and improve the product performance and who is motivated to achieve results in a fast-paced environment. The position offers an exceptional opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business.
As an Applied Scientist in the Blended Widgets team you will:
* Conduct hands-on data analysis and run regular A/B experiments gather data perform statistical analysis and deep dive and communicate the impact to senior management
* Rapidly design prototype and test many possible hypotheses in a high-ambiguity environment making use of both quantitative analysis and business judgment
* Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving
* Collaborate with software engineering teams to integrate successful experimental results into large-scale highly complex Amazon production systems
* Promote the culture of experimentation and applied science at Amazon
Team video
We are also open to consider the candidate in New York or Seattle.
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Detail Page Discovery Experiences team is chartered with inventing and building engaging product recommendation experiences in Amazon Product Detail Pages. We push the innovation frontiers for our hundreds of millions of customers WW to aid product discovery while helping shoppers to find relevant products easily. Our team is building differentiated recommendations and utilizing cutting-edge machine learning techniques in the domain of natural language processing (NLP) and Transformer deep learning reinforcement learning and Generative AI to provide delightful shopping experiences and deliver significant impact for the business.
We are looking for an Applied Scientist who can delight our customers by continually learning and inventing. Our ideal candidate is an experienced Applied Scientist who has a track-record of performing deep analysis and is passionate about applying advanced ML and statistical techniques to solve real-world ambiguous and complex challenges to optimize and improve the product performance and who is motivated to achieve results in a fast-paced environment. The position offers an exceptional opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business.
As an Applied Scientist in the Blended Widgets team you will:
* Conduct hands-on data analysis and run regular A/B experiments gather data perform statistical analysis and deep dive and communicate the impact to senior management
* Rapidly design prototype and test many possible hypotheses in a high-ambiguity environment making use of both quantitative analysis and business judgment
* Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving
* Collaborate with software engineering teams to integrate successful experimental results into large-scale highly complex Amazon production systems
* Promote the culture of experimentation and applied science at Amazon
Team video
We are also open to consider the candidate in New York or Seattle.
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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