Applied Scientist Account Integrity
Applied Scientist Account Integrity
Posted on :
19-04-2025
Employer Active
1 Vacancy
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Job Description
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day Are you excited by the prospect of analyzing and modeling terabytes of data and create stateofart algorithms to solve real world problems Do you like to innovate and simplify If yes then you may be a great fit to join the Amazon Account Integrity team.
The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance we invest in mechanisms which allow us to accurately identify and mitigate risk and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies iterating our Machine Learning risk models and exercising highjudgement decisionmaking where we cannot apply automation.
Main responsibilities
Use statistical and machine learning techniques to create scalable risk management systems
Analyzing and understanding large amounts of Amazons historical business data for specific instances of risk or broader risk trends
Design development and evaluation of highly innovative models for risk management
Working closely with software engineering teams to drive realtime model implementations and new feature creations
Working closely with operations staff to optimize risk management operations
Establishing scalable efficient automated processes for large scale data analyses model development model validation and model implementation
Tracking general business activity and providing clear compelling management reporting on a regular basis
Research and implement novel machine learning and statistical approaches
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
3 years of handson predictive modeling and large data analysis experience
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Communication and data presentation skills
Problem solving ability
A PhD in Computer Science Machine Learning Statistics or in a highly quantitative field
3 years of industry experience in predictive modeling and large data analysis
Strong skills with Python/Spark (or similar scripting language) Java/C and SQL
Strong problem solving and dive deep ability
Strong communication writing and data presentation skills
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 $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.
The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance we invest in mechanisms which allow us to accurately identify and mitigate risk and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies iterating our Machine Learning risk models and exercising highjudgement decisionmaking where we cannot apply automation.
Main responsibilities
Use statistical and machine learning techniques to create scalable risk management systems
Analyzing and understanding large amounts of Amazons historical business data for specific instances of risk or broader risk trends
Design development and evaluation of highly innovative models for risk management
Working closely with software engineering teams to drive realtime model implementations and new feature creations
Working closely with operations staff to optimize risk management operations
Establishing scalable efficient automated processes for large scale data analyses model development model validation and model implementation
Tracking general business activity and providing clear compelling management reporting on a regular basis
Research and implement novel machine learning and statistical approaches
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
3 years of handson predictive modeling and large data analysis experience
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Communication and data presentation skills
Problem solving ability
A PhD in Computer Science Machine Learning Statistics or in a highly quantitative field
3 years of industry experience in predictive modeling and large data analysis
Strong skills with Python/Spark (or similar scripting language) Java/C and SQL
Strong problem solving and dive deep ability
Strong communication writing and data presentation skills
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 $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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