Applied Scientist, AWS Fraud Prevention
Applied Scientist, AWS Fraud Prevention
Posted on :
23-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 129400 - 212800
Vacancy
1 Vacancy
Posted on :
23-05-2025
Job Description
Are you passionate about solving complex problems and protecting one of the worlds largest cloud platforms The AWS Fraud Prevention team is looking for an innovative Applied Scientist to help keep AWS a safe and trusted environment for millions of customers worldwide.
In this role you will design build and deploy machine learning models that detect prevent and mitigate fraudulent activity across the AWS ecosystem. You will work with massive realworld datasets develop new detection strategies and apply advanced and practical technologies to tackle everevolving threats. You will also explore Generative AI (GenAI) techniques to uncover new fraud patterns and strengthen our fraud defenses.
At AWS we support hundreds of thousands of businesses powering billions of transactions every day. Fraudsters are constantly innovating and so are we. If you enjoy thinking like a fraudster building resilient defenses and making a realworld impact we invite you to join us and help shape the future of secure cloud computing.
Key job responsibilities
* Design build and deploy machine learning models to detect prevent and mitigate fraudulent activities across the AWS platform.
* Analyze largescale behavioral transactional and historical datasets to uncover fraud patterns and emerging threats.
* Explore and apply GenAI techniques including large language models (LLMs) synthetic data generation and adversarial simulations to enhance fraud detection capabilities.
* Collaborate closely with engineering product and operations teams to translate business needs into scalable technical solutions.
* Experiment prototype and iterate on new detection strategies algorithms and evaluation metrics.
* Continuously monitor model performance and improve robustness against adversarial behaviors and evolving fraud tactics.
* Communicate findings and technical insights clearly and effectively to both technical and nontechnical audiences.
* Contribute to the broader fraud prevention strategy driving innovation and best practices across the organization.
Experience programming in Java C Python or related language
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Masters degree or above in computer science mathematics statistics machine learning or equivalent quantitative field
Experience applying theoretical models in an applied environment
Experience in fraud detection cybersecurity anomaly detection risk modeling or adversarial machine learning.
Handson experience applying GenAI techniques such as synthetic data generation adversarial simulation or large language model (LLM) insights.
Experience designing and deploying machine learning models in production environments.
Ability to collaborate across multidisciplinary teams and clearly communicate technical concepts to nontechnical audiences.
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 $129400/year in our lowest geographic market up to $212800/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.
In this role you will design build and deploy machine learning models that detect prevent and mitigate fraudulent activity across the AWS ecosystem. You will work with massive realworld datasets develop new detection strategies and apply advanced and practical technologies to tackle everevolving threats. You will also explore Generative AI (GenAI) techniques to uncover new fraud patterns and strengthen our fraud defenses.
At AWS we support hundreds of thousands of businesses powering billions of transactions every day. Fraudsters are constantly innovating and so are we. If you enjoy thinking like a fraudster building resilient defenses and making a realworld impact we invite you to join us and help shape the future of secure cloud computing.
Key job responsibilities
* Design build and deploy machine learning models to detect prevent and mitigate fraudulent activities across the AWS platform.
* Analyze largescale behavioral transactional and historical datasets to uncover fraud patterns and emerging threats.
* Explore and apply GenAI techniques including large language models (LLMs) synthetic data generation and adversarial simulations to enhance fraud detection capabilities.
* Collaborate closely with engineering product and operations teams to translate business needs into scalable technical solutions.
* Experiment prototype and iterate on new detection strategies algorithms and evaluation metrics.
* Continuously monitor model performance and improve robustness against adversarial behaviors and evolving fraud tactics.
* Communicate findings and technical insights clearly and effectively to both technical and nontechnical audiences.
* Contribute to the broader fraud prevention strategy driving innovation and best practices across the organization.
Experience programming in Java C Python or related language
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Masters degree or above in computer science mathematics statistics machine learning or equivalent quantitative field
Experience applying theoretical models in an applied environment
Experience in fraud detection cybersecurity anomaly detection risk modeling or adversarial machine learning.
Handson experience applying GenAI techniques such as synthetic data generation adversarial simulation or large language model (LLM) insights.
Experience designing and deploying machine learning models in production environments.
Ability to collaborate across multidisciplinary teams and clearly communicate technical concepts to nontechnical audiences.
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 $129400/year in our lowest geographic market up to $212800/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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
