Lead Data Scientist
Core
Lead a team to develop fraud detection products and services for Mastercard's global payment network, leveraging data science to reduce fraud for issuers, acquirers, and merchants.
Role type
Lead Data Scientist (Fraud & Risk)
Builds
Fraud detection products and services
Domain
Financial services / Payments / Cybersecurity
Deliverable
production ML models | product features
Required skills
Python, Spark, complex SQL queries, agentic AI systems (LLM-based agents), data analysis languages
Preferred skills
UNIX, payments/cards/fraud domain expertise, quantitative degree
Technologies
Python, Spark, LLM-based agents
Responsibilities
Extract value from existing data sources to detect and prevent fraud, analyze worldwide fraud data, apply modeling techniques to identify fraud patterns, build and manage new fraud-related products
Seniority
Lead, hands-on IC with team leadership
