Senior Applied Scientist , Buyer Risk Prevention (BRP)

About the role

We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms.

What you'll do

• Lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy
• Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives
• Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders
• Design, develop, and deploy highly scalable machine learning systems in real-time production environments
• Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation

What you need

• 5–9 yrs of experience
• Machine learning
• Python
• Deep learning
• C++
• Java
• LLMs
• PhD

Good to have

• Scikit-learn
• Spark
• R
• TensorFlow
• NumPy
• Hadoop