Applied Scientist Sponsored Products Bespoke Shopping Experience
Applied Scientist Sponsored Products Bespoke Shopping Experience
Posted on :
01-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
01-05-2025
Job Description
Amazon Ads 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 drive longterm growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Bespoke Shopping Experience team within SP develops customer facing experiences and machine learning models to better understand and address the diverse needs and behaviors of various shopper cohorts. As an Applied Scientist on the team you will:
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
Build machine learning models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Run A/B experiments gather data and perform statistical analysis.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
Research new and innovative machine learning approaches.
PhD or Masters degree and 4 years of CS CE ML or related field experience
3 years of building models for business application 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 highperformance computing
Experience in professional software development
PhD in math/statistics/engineering or other equivalent quantitative discipline
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 Bespoke Shopping Experience team within SP develops customer facing experiences and machine learning models to better understand and address the diverse needs and behaviors of various shopper cohorts. As an Applied Scientist on the team you will:
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
Build machine learning models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Run A/B experiments gather data and perform statistical analysis.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
Research new and innovative machine learning approaches.
PhD or Masters degree and 4 years of CS CE ML or related field experience
3 years of building models for business application 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 highperformance computing
Experience in professional software development
PhD in math/statistics/engineering or other equivalent quantitative discipline
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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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