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.

#J-18808-Ljbffr

📌 Lead Machine Learning Scientist Toronto (Vancouver)
🏢 Mastercard
📍 Vancouver