Applied Scientist II, Buyer Risk Prevention (BRP)

About the role

We are seeking an Applied Scientist to design, develop, and deploy advanced algorithmic systems that safeguard millions of transactions every day. In this role, you will independently drive model development from problem formulation to production deployment, build scalable ML solutions, and leverage emerging technologies—including Generative AI and LLMs—to enhance fraud detection and next-generation risk prevention systems.

What you'll do

• Independently drive model development from problem formulation to production deployment, build scalable ML solutions
• 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
• Collaborate closely with software engineering teams to implement scalable, real-time model solutions

What you need

• 3–6 yrs of experience
• Python
• Data structures
• IPR
• C++
• Java
• Machine learning
• PhD

Good to have

• Linux
• LLMs