Applied Scientist, Sponsored Products Marketplace Intelligence, Sponsored Products and Brands
Applied Scientist, Sponsored Products Marketplace Intelligence, Sponsored Products and Brands
Posted on :
26-05-2025
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1 Vacancy
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Job Description
Calling all inventors to work on exciting new opportunities in Sponsored Products. Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. Sponsored Products (SP) helps merchants retail vendors and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning big data analytics ultra-low latency high-volume engineering systems and quantitative product focus. We are a highly motivated collaborative and fun-loving group with an entrepreneurial spirit and bias for action.
You will join a newly-founded team with a broad mandate to experiment and innovate with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly you will have the opportunity to broaden your technical skills and be a science leader in an environment that thrives on creativity experimentation and product innovation.
- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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 $129400/year in our lowest geographic market up to $212800/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.
You will join a newly-founded team with a broad mandate to experiment and innovate with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly you will have the opportunity to broaden your technical skills and be a science leader in an environment that thrives on creativity experimentation and product innovation.
- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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 $129400/year in our lowest geographic market up to $212800/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
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