Lead Data Scientist
Core
Lead a team to develop and deliver actionable insights and products to help issuers, acquirers, and merchants reduce fraud using worldwide data.
Role type
Lead Data Scientist (Fraud & Risk)
Builds
New fraud-related products and services
Domain
Financial services / Payments / Cybersecurity
Deliverable
production ML models
Required skills
Python, Spark, complex SQL queries, agentic AI systems (LLM-based agents), data analysis languages, UNIX
Preferred skills
Subject matter expertise in payments/cards/fraud, combining knowledge across disciplines
Technologies
Python, Spark, UNIX
Responsibilities
Extract value from existing data sources to understand, detect, and prevent fraud; Analyze worldwide fraud data to gain insights; Apply modeling techniques to identify and understand fraud; Build and manage new fraud-related products and services
Seniority
Lead, hands-on IC with team contribution
