Sr Applied Scientist Monetization Sponsored Products
Sr Applied Scientist Monetization Sponsored Products
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Amazon continues to invest heavily in building our world class advertising business. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily breaking fresh ground to create worldclass products. We are highly motivated collaborative and funloving with an entrepreneurial spirit and strong bias for action. With a broad mandate to experiment and innovate we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The Sponsored Products Monetization team is broadly responsible for pricing of ads on Amazon search pages balancing shortterm and longterm ad revenue growth to drive sustainable marketplace health.
As a Senior Applied Scientist on our team you will be responsible for defining the science and technical strategy for one of our most impactful marketplace controls creating lasting value for Amazon and our advertising customers. You will help to identify unique opportunities to create customized and delightful shopping experience for our growing marketplaces worldwide. Your job will be identify big opportunities for the team that can help to grow Sponsored Products business working with retail partner teams Product managers Software engineers and PMs. You will have opportunity to design run and analyze A/B experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly you will have the opportunity to broaden your technical skills in an environment that thrives on creativity experimentation and product innovation.
Key job responsibilities
Lead science tech and business strategy and roadmap for Sponsored Products Monetization
Drive alignment across multiple organizations for science engineering and product strategy to achieve business goals
Lead and mentor 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 and advertisers
Develop state of the art experimental approaches and ML models
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving
Research new and innovative machine learning approaches
Recruit Scientists to the team and provide mentorship
5 years of building machine learning models for business application experience
PhD or Masters degree and 5 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.
As a Senior Applied Scientist on our team you will be responsible for defining the science and technical strategy for one of our most impactful marketplace controls creating lasting value for Amazon and our advertising customers. You will help to identify unique opportunities to create customized and delightful shopping experience for our growing marketplaces worldwide. Your job will be identify big opportunities for the team that can help to grow Sponsored Products business working with retail partner teams Product managers Software engineers and PMs. You will have opportunity to design run and analyze A/B experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly you will have the opportunity to broaden your technical skills in an environment that thrives on creativity experimentation and product innovation.
Key job responsibilities
Lead science tech and business strategy and roadmap for Sponsored Products Monetization
Drive alignment across multiple organizations for science engineering and product strategy to achieve business goals
Lead and mentor 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 and advertisers
Develop state of the art experimental approaches and ML models
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving
Research new and innovative machine learning approaches
Recruit Scientists to the team and provide mentorship
5 years of building machine learning models for business application experience
PhD or Masters degree and 5 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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