Senior Applied Scientist , Buyer Risk Prevention (BRP)
Core
Lead the scientific direction and deployment of large-scale real-time machine learning systems for fraud and risk prevention in global eCommerce.
Role type
Senior Applied Scientist (Risk/Fraud Prevention)
Builds
Next-generation risk prevention platforms and scalable ML systems for transaction safety
Domain
eCommerce, Fraud Detection, Risk Management
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning, Generative AI/LLM integration, System architecture design, Experimentation and model validation, Technical mentorship, Strategic roadmap definition
Preferred skills
Distributed systems modeling, Large-scale data processing tools
Technologies
Java, C++, Python, TensorFlow, PyTorch, Spark, Hadoop, MxNet, scikit-learn, numpy, scipy
Responsibilities
Define problem statements and long-term modeling roadmaps, Design and deploy scalable ML systems in real-time, Drive innovation using GenAI/LLM, Partner with engineering on system architecture, Establish best practices for model lifecycle management, Mentor junior scientists, Communicate scientific insights to leadership
Seniority
Senior, hands-on IC with strategic influence
