Applied Scientist II, Buyer Risk Prevention (BRP)

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

In short

Join Amazon's Buyer Risk Prevention team as an Applied Scientist to develop and deploy advanced machine learning models for fraud detection and risk management. You will own end-to-end model development, leveraging Generative AI and LLMs to protect customers and enhance transaction security.

Responsibilities

Own end-to-end development of machine learning models for large-scale risk management systems
Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends
Design, develop, validate, and deploy innovative models to production environments
Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency
Collaborate closely with software engineering teams to implement scalable, real-time model solutions
Partner with operations and business stakeholders to translate risk insights into measurable impact
Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring
Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders
Research and implement novel machine learning and statistical methodologies

Requirements

3+ years of building models for business application experience
PhD, or Master's degree
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Desired Qualifications

Experience using Unix/Linux
Experience in professional software development
Experience in software development and delivery

Skills

PythonJavaC++Machine LearningData MiningGenerative AILLMs

#Applied Science#Machine Learning#Fraud Detection#Risk Management#Generative AI#LLMs

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