Amazon
Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML
$143K–$193K
Seattle, WA +1 · Full-time · Posted Oct 6, 2026
- Location
- Seattle, WA
San Diego, CA - Experience
- 3+ years building models for business application; 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 and statistical systems to detect and manage eCommerce payment risk and fraud across Amazon transactions.
What you'll do
- Build, evaluate, and implement scalable risk models and real-time features using historical business data.
- Partner with software engineering and operations teams to improve model implementation and risk-management operations.
- Automate large-scale data analysis, model development and validation, and report on business activity.
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.
- Programming experience 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 skills; SQL and Spark/Python/Perl (or similar); communication and cross-team collaboration skills.
Pay
USD 142,800.00 - 193,200.00 annually (base salary)
Tools
Java, C++, Python, SQL, Spark, Perl
AI focus
Researches and implements machine-learning and statistical approaches, developing and validating models for payment-risk management and fraud prevention.
Model-written summary · the original posting is authoritative