Manager ML Science Buyer Risk Prevention
Manager ML Science Buyer Risk Prevention
Posted on :
19-04-2025
Employer Active
1 Vacancy
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Job Description
Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of eCommerce transactions across the globe
Our mission in Buyer Risk Prevention (BRP) is to make Amazon the safest place to transact online. BRP designs and builds systems risk models and operational processes that minimize risk and maximize trust in Amazon. The Science manager will lead a growing team of Scientists tasked with preventing ecommerce fraud with developing the bestinclass science solutions. We are looking for a strong technical leader to help develop advanced scientific solutions and drive critical customer partner and business impact. You will collaborate closely with engineering peers as well as business stakeholders to drive endtoend business problems/metrics and directly impact the profitability of the company.
Key job responsibilities
Understand various businesses/operations across BRP
Hire Grow and Develop excellent talent.
Partner with Leaders across the organization to frame business problems establish Scientific vision and execute roadmap. Partner with Product and Engineering teams to bring modeling solutions to frontline applications across the business.
Set the scientific culture and leadership within the team advocating for Science at leadership level
Be able to translate and communicate out Science driven results
Identify new opportunities to leverage Science within the organization
PhD degree with 4 years of applied research experience or a Masters degree and 6 years of experience of applied research experience.
Extensive experience applying ML to solve complex problems for largescale applications
Extensive people management experience managing science teams.
Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels.
Skilled with Java Python or other programming language
A PhD in CS Machine Learning Statistics Operations Research or relevant field.
Strong Machine Learning breadth and depth
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 $165500/year in our lowest geographic market up to $286000/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.
Our mission in Buyer Risk Prevention (BRP) is to make Amazon the safest place to transact online. BRP designs and builds systems risk models and operational processes that minimize risk and maximize trust in Amazon. The Science manager will lead a growing team of Scientists tasked with preventing ecommerce fraud with developing the bestinclass science solutions. We are looking for a strong technical leader to help develop advanced scientific solutions and drive critical customer partner and business impact. You will collaborate closely with engineering peers as well as business stakeholders to drive endtoend business problems/metrics and directly impact the profitability of the company.
Key job responsibilities
Understand various businesses/operations across BRP
Hire Grow and Develop excellent talent.
Partner with Leaders across the organization to frame business problems establish Scientific vision and execute roadmap. Partner with Product and Engineering teams to bring modeling solutions to frontline applications across the business.
Set the scientific culture and leadership within the team advocating for Science at leadership level
Be able to translate and communicate out Science driven results
Identify new opportunities to leverage Science within the organization
PhD degree with 4 years of applied research experience or a Masters degree and 6 years of experience of applied research experience.
Extensive experience applying ML to solve complex problems for largescale applications
Extensive people management experience managing science teams.
Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels.
Skilled with Java Python or other programming language
A PhD in CS Machine Learning Statistics Operations Research or relevant field.
Strong Machine Learning breadth and depth
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 $165500/year in our lowest geographic market up to $286000/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:
Manager
Employment Type
Full-Time
Key Skills
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