Lead graph analytics and machine learning at Mastercard in Toronto, developing cybersecurity, payments, and fraud solutions with Python and SQL.

This Lead Data Scientist role sits within Mastercard’s Cyber Analytics team in Security Solutions Data Science. You will guide analytical projects from problem definition through production handoff, using graph modeling, anomaly detection, statistical modeling, and distributed datasets. The role also includes people-management responsibilities for junior team members.

Key Responsibilities:

- Design predictive models using payments, fraud, and cybersecurity data
- Develop graph schemas, embeddings, and graph neural networks
- Identify anomalous relationships, compromise paths, and risk patterns
- Build scalable pipelines with Python, SQL, Spark, Hadoop,



and Databricks
- Coach junior team members and provide technical guidance

Requirements:

- Bachelor's or Master's degree in a quantitative or related field
- Experience leading projects through validation and production handoff
- Hands-on graph analytics and scalable graph machine learning experience
- Advanced Python and SQL with distributed dataset experience
- Knowledge of statistical modeling and model performance monitoring

Apply graph modeling, machine learning, and cybersecurity analytics expertise as Mastercard’s Toronto Lead Data Scientist.

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📌 Lead Graph Analytics Data Scientist (Toronto)
🏢 Skillhub Solutions
📍 Toronto