Applied Scientist I, Buyer Risk Prevention (BRP)
Core
Develop scalable machine learning solutions to protect customers and enable a trusted eCommerce experience by solving real-world fraud and risk challenges.
Role type
Applied Scientist (Machine Learning)
Builds
Next-generation risk prevention systems, including applications of Generative AI and LLM technologies
Domain
eCommerce, Fraud Detection, Risk Management
Deliverable
production ML models
Required skills
Java, C++, Python, SQL, RDBMS, Data Warehouse
Preferred skills
Algorithm implementation, Publications at top-tier peer-reviewed conferences or journals
Technologies
Generative AI, LLMs
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; Monitor model performance and provide clear reporting on key risk and business metrics