Real-Time Payments Fraud Prevention Scientist

Amazon; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Amazon Web Services (AWS) is seeking an Applied Scientist to design, build, and deploy machine learning models that detect and prevent fraudulent activity across the AWS payments and usage ecosystem. You will work with massive real-world datasets, applying GenAI techniques to enhance detection capabilities and evaluating models for production deployment.

You will own the full model lifecycle from data extraction and feature engineering to productionalization, while collaborating with

Responsibilities

• Design, build, and deploy end-to-end machine learning models and rules to detect, prevent, and mitigate fraudulent activities across the AWS payment and usage ecosystem.
• Source, extract, and analyze large-scale behavioral, transactional, and historical datasets to uncover fraud patterns and emerging threats.
• Apply hands-on expertise in statistical modeling, traditional machine learning, and analytics to identify and isolate issues across the fraud landscape.
• Explore and apply GenAI techniques, including large language models (LLMs) and synthetic data generation, to enhance fraud detection capabilities.
• Own the full model lifecycle — from data extraction and feature engineering through evaluation, productionalization, and deployment.
• Continuously monitor model and rule performance and improve robustness against adversarial behaviors and evolving fraud tactics.
• Experiment, prototype, and iterate on new detection strategies, algorithms, and evaluation metrics with a focus on rapid time-to-production.
• Collaborate closely with engineering, product, and operations teams to translate business needs into scalable technical solutions.
• Communicate findings and technical insights clearly and effectively to both technical and non-technical stakeholders at all levels.
• Contribute to the broader fraud prevention strategy, driving innovation and best practices across the organization.

Job description

Amazon Web Services (AWS) is seeking an Applied Scientist to design, build, and deploy machine learning models that detect and prevent fraudulent activity across the AWS payments and usage ecosystem. You will work with massive real-world datasets, applying GenAI techniques to enhance detection capabilities and evaluating models for production deployment.

You will own the full model lifecycle from data extraction and feature engineering to productionalization, while collaborating with