Amazon
Applied Scientist, Payments & Fraud Prevention, AWS Payments & Fraud Prevention
$172K–$223K
New York, NY · Full-time · Posted Sep 24, 2026
- Experience
- 3+ years building models for business applications; 5+ years designing experiments and statistical analysis; 3+ years practical ML application experience. Master's degree route requires 4+ years of CS, CE, ML or related field experience. Preferred: 4+ years of applied ML experience in a quantitative field.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; also specifies a PhD or equivalent Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, Operations Research, or another highly quantitative field.
About the job
Build and operate machine learning systems that detect, prevent, and mitigate fraud across AWS payments, signups, and usage, including applying GenAI to improve detection.
What you'll do
- Develop, evaluate, deploy, and monitor fraud models and rules across their full lifecycle.
- Analyze large-scale behavioral, transactional, and historical data; review model outputs and tune detection thresholds.
- Explore detection strategies, including LLMs and synthetic data generation, and collaborate with engineering, product, and operations teams.
What they ask for
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; also states PhD or equivalent Master's degree in a listed or other highly quantitative field.
- 3+ years building models for business applications and 3+ years applying ML to complex problems for large-scale applications.
- 5+ years designing experiments and statistically analyzing results.
- Programming in Java, C++, Python or a related language; experience with statistical/ML software and scripting automation, plus advanced SQL skills.
Nice to have
- Unix/Linux; professional software development; neural deep learning methods and machine learning.
- AWS infrastructure or services; 4+ years of applied ML experience in a quantitative field; predictive analytics.
Pay
USD 172,400.00 - 223,400.00 annually (base salary)
Tools
Java, C++, Python, R, Weka, SAS, Matlab, SQL
AI focus
Apply GenAI, including large language models (LLMs) and synthetic data generation, to enhance fraud signal discovery and detection.
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