Lead Data Scientist: Fraud Analytics & AI

Mastercard; Toronto; On-site; CAD 127,000 - 203,000; Full time

Job summary

Mastercard is seeking a Lead Data Scientist to help detect and prevent fraud on a global scale. You will leverage data-driven insights to build and deploy models, work with stakeholders across teams, and develop new fraud-related products and services that protect the Mastercard payment network.

Ideal candidates bring hands-on experience with Python and Spark, familiarity with UNIX, and a track record of delivering advanced data science solutions in payments, cards, or fraud domains.

Qualifications

• Proven experience working with stakeholders to deliver data science solutions.
• Experience with Python and Spark for data manipulation.
• Familiarity with UNIX and shell scripting.
• Experience building, evaluating, and communicating fraud models.

Responsibilities

• Extract value from data sources to understand, detect and prevent fraud.
• Analyze worldwide fraud data to gain actionable insights.
• Apply modeling techniques to identify fraud and protect Mastercard network.
• Build fraud-related products and services to create value and revenue.

Skills

Python

Spark

UNIX

Agentic AI systems

Data analysis

Presentations

Stakeholder collaboration

Fraud detection

Cross-disciplinary problem solving

Education

Quantitative degree (e.g., Mathematics/Statistics/Physics/CS/Decision Science/Engineering)

Job description

Mastercard is seeking a Lead Data Scientist to help detect and prevent fraud on a global scale. You will leverage data-driven insights to build and deploy models, work with stakeholders across teams, and develop new fraud-related products and services that protect the Mastercard payment network.

Ideal candidates bring hands-on experience with Python and Spark, familiarity with UNIX, and a track record of delivering advanced data science solutions in payments, cards, or fraud domains.