Applied Scientist Customer Targeting
Applied Scientist Customer Targeting
Posted on :
24-04-2025
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1 Vacancy
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Job Description
Are you passionate about leveraging data to deliver actionable insights that impact daily marketing activities at Amazon The Customer Targeting team in Amazon is seeking an Applied Scientist to join our team to develop models for optimizing the performance of Amazons marketing initiatives across channels and advertising formats. You have experience applying modern machine learning methods to answer key business questions make strategic and tactical recommendations for change and work with business leaders to drive these to production. You are entrepreneurial and able to work in a highly collaborative environment.
This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment.
You will be expected to:
Leverage knowledge of statistics and optimization to frame decisionmaking problems for determining marketing spends across channels.
Predict future customer behavior and business conditions through machine learning and predictive modeling.
Use analytical and predictive techniques to build models for optimizing targeting.
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
PhD or Masters degree and 3 years of practical machine learning experience
Experience programming in Java C Python or related language
Have publications at toptier peerreviewed conferences or journals
Ability to simplify complex technical concepts and explaining modeling approaches and outcomes to business leaders with the right level of detail.
Experience using Unix/Linux
2 years of practical machine learning experience
Experience building machine learning models or developing algorithms for business application
Experience in targeting advertising website optimization recommender systems
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.
This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment.
You will be expected to:
Leverage knowledge of statistics and optimization to frame decisionmaking problems for determining marketing spends across channels.
Predict future customer behavior and business conditions through machine learning and predictive modeling.
Use analytical and predictive techniques to build models for optimizing targeting.
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
PhD or Masters degree and 3 years of practical machine learning experience
Experience programming in Java C Python or related language
Have publications at toptier peerreviewed conferences or journals
Ability to simplify complex technical concepts and explaining modeling approaches and outcomes to business leaders with the right level of detail.
Experience using Unix/Linux
2 years of practical machine learning experience
Experience building machine learning models or developing algorithms for business application
Experience in targeting advertising website optimization recommender systems
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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