Sr Applied Scientist Sponsored Products Campaign Performance
Sr Applied Scientist Sponsored Products Campaign Performance
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Amazon Advertising is one of Amazons fastest growing and most profitable businesses responsible for defining and delivering a collection of advertising products that drive discovery and sales. 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 longterm growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
This role will focus on a highly strategic new initiative.
Key job responsibilities
As a Senior Applied Scientist on this team you will:
Lead a new initiative across Sponsored Products focused on AI/ML based features.
Be the technical leader in AI Machine Learning; lead efforts within this team and across other teams.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
Drive endtoend AI/Machine Learning projects that have a high degree of ambiguity scale complexity.
Build models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your AI/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 AI/ machine learning approaches.
Recruit Applied Scientists to the team and provide mentorship.
A day in the life
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customerfacing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastestgrowing businesses across all of Amazon! Define a longterm science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
About the team
Team video 3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $150400/year in our lowest geographic market up to $260000/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.
This role will focus on a highly strategic new initiative.
Key job responsibilities
As a Senior Applied Scientist on this team you will:
Lead a new initiative across Sponsored Products focused on AI/ML based features.
Be the technical leader in AI Machine Learning; lead efforts within this team and across other teams.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
Drive endtoend AI/Machine Learning projects that have a high degree of ambiguity scale complexity.
Build models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your AI/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 AI/ machine learning approaches.
Recruit Applied Scientists to the team and provide mentorship.
A day in the life
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customerfacing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastestgrowing businesses across all of Amazon! Define a longterm science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
About the team
Team video 3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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