Join Mastercard's Data Science team as a Lead Machine Learning Scientist, focusing on advanced fraud detection models while working hybrid in Toronto. Drive high-impact machine learning solutions for merchant risk assessment and payment safety.

This position requires a deep technical skill set and the ability to lead projects from inception to delivery. Engage with large-scale transaction data, fostering collaboration across teams to ensure robust, production-ready solutions. Your leadership will enhance cybersecurity measures and improve the digital payment experience for merchants.

Key Responsibilities:
• Build and evaluate statistical models to detect payment fraud
• Ensure high standards in model quality and interpretability
• Drive model development initiatives with hands-on experimentation




• Collaborate with teams to establish clear problem statements
• Deliver complex insights to wide-ranging stakeholders effectively

Requirements:
• Degree in Computer Science, Engineering, or Data Science
• Proven track record in machine learning project management
• Strong Python skills and experience with PySpark
• Hands-on familiarity with large transaction datasets
• Excellent communication abilities across technical fields

Apply your machine learning expertise to enhance Mastercard's innovation in fraud prevention.
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📌 Lead Machine Learning Scientist Toronto (British Columbia)
🏢 Mastercard
📍 British Columbia