Applied Scientist Buyer Abuse Prevention ML
Applied Scientist Buyer Abuse Prevention ML
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Buyer Risk Preventions (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such BRP designs and builds the software systems risk models and operational processes that minimize risk and maximize trust in Amazon. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon.
Key job responsibilities
As an Applied Scientist you will be responsible for modeling complex problems discovering insights and building cutting edge risk algorithms that identify opportunities through statistical models machine learning and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.
You will need to collaborate effectively with business and product leaders within BRP and crossfunctional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools data sources and ML techniques to answer a wide range of highimpact business questions and proactively present new insights in concise and effective manner.
The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to nontechnical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Responsibilities:
Invent implement and deploy state of the art machine learning algorithms and systems
Build prototypes and explore conceptually new solutions
Define and conduct experiments to validate/reject hypotheses and communicate insights and recommendations to Product and Tech teams
Take ownership of how ML solutions impact Amazon resources and Customer experience
Develop efficient data querying infrastructure for both offline and online use cases
Collaborate with crossfunctional teams from multidisciplinary science engineering and business backgrounds to enhance current automation processes
Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.
Research and implement novel machine learning and statistical approaches
Maintain technical document and communicate results to diverse audiences with effective writing visualizations and presentations
Please visit for more information
PhD or Masters degree and 4 years of CS CE ML or related field 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 using Unix/Linux
Experience in professional software development
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Key job responsibilities
As an Applied Scientist you will be responsible for modeling complex problems discovering insights and building cutting edge risk algorithms that identify opportunities through statistical models machine learning and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.
You will need to collaborate effectively with business and product leaders within BRP and crossfunctional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools data sources and ML techniques to answer a wide range of highimpact business questions and proactively present new insights in concise and effective manner.
The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to nontechnical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Responsibilities:
Invent implement and deploy state of the art machine learning algorithms and systems
Build prototypes and explore conceptually new solutions
Define and conduct experiments to validate/reject hypotheses and communicate insights and recommendations to Product and Tech teams
Take ownership of how ML solutions impact Amazon resources and Customer experience
Develop efficient data querying infrastructure for both offline and online use cases
Collaborate with crossfunctional teams from multidisciplinary science engineering and business backgrounds to enhance current automation processes
Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.
Research and implement novel machine learning and statistical approaches
Maintain technical document and communicate results to diverse audiences with effective writing visualizations and presentations
Please visit for more information
PhD or Masters degree and 4 years of CS CE ML or related field 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 using Unix/Linux
Experience in professional software development
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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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