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Amazon · Seattle, WA

# Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML

US, WA, Seattle Research & Science 

Listed on Amazon’s official careers site. Posted October 6, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10570972/applied-scientist-brp-payment-risk-ml-brp-payment-risk-ml)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML

## 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 preventing eCommerce fraud?

Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?

Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?

If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.

### Key job responsibilities

Use machine learning and statistical techniques to create scalable risk management systems

Learning and understanding large amounts of Amazon’s 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 real-time 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

## At a glance
- Posted by the employer: Oct 6, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 12 days
- Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10570972/applied-scientist-brp-payment-risk-ml-brp-payment-risk-ml)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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