Amazon
Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML
$143K–$193K
Seattle, WA · Full-time · Posted Oct 6, 2026
- Experience
- 3+ years building models for business applications; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience. Preferred: 5+ years of industry experience in predictive modeling and analysis.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develops machine-learning systems and models to detect and manage payment risk and eCommerce fraud across Amazon transactions.
What you'll do
- Build, evaluate, and implement scalable risk-management models and algorithms.
- Analyze historical business data and risk trends, and establish automated processes for analysis, validation, and implementation.
- Collaborate with software engineering and operations teams, and report on business activity and metrics.
What they ask for
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- PhD in CS, Machine Learning, GenAI, Operations Research or relevant field; 5+ years of industry experience in predictive modeling and analysis.
- Strong machine-learning breadth and depth; SQL and Spark/Python/Perl (or similar) skills.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, SQL, Spark, Perl
AI focus
Research, develop, and implement machine-learning and statistical models for payment risk and fraud prevention.
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