Description
Mastercard's Cyber and Intelligence Solutions team is seeking a Lead Data Scientist to help develop and deliver actionable insights and products to reduce fraud for issuers, acquirers, and merchants.
The successful candidate will be a key player in extracting value from existing data sources to better understand, detect, and prevent fraud. Responsibilities include:
- Analyzing worldwide fraud data to gain insights regarding fraud
- Applying modeling techniques to identify and understand fraud to protect the Mastercard payment network
- Building and managing new fraud-related products and services that provide value to customers and increase revenue
Requirements:
- Proven experience working with stakeholders to deliver state-of-the-art solutions
- Record of accomplishment in learning and applying new techniques and data analysis languages
- Experience writing complex queries to efficiently extract and manipulate large amounts of data
- Experience with Python and Spark for data manipulation
- Hands-on experience designing, building, or deploying agentic AI systems is strongly preferred
- Excellent inter-personal skills, able to work with colleagues remotely and in-person
- Degree in a quantitative discipline preferred
In line with Mastercard's total compensation philosophy, the successful candidate will be offered a competitive pay based on location, experience, and other qualifications for the role.