Applied Scientist I, Buyer Risk Prevention (BRP)

About the Role

The Amazon Buyer Risk Prevention (BRP) Machine Learning team is seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day. In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies.

Key Responsibilities

• Apply machine learning and statistical techniques to build and improve risk management models.
• Analyze large-scale historical data to identify risk patterns and emerging trends.
• Develop, validate, and deploy innovative models under the guidance of senior scientists.
• Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation.
• Collaborate closely with software engineers to implement models in real-time production systems.
• Partner with operations and business teams to improve risk policies and operational efficiency.
• Build scalable, automated pipelines for data analysis, model training, and validation.
• Monitor model performance and provide clear reporting on key risk and business metrics.
• Research and prototype new modeling approaches to improve system performance.

Requirements & Tech Stack

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Qualifications

• Experience implementing algorithms using both toolkits and self-developed code.
• Publications at top-tier peer-reviewed conferences or journals.