Lead Data Scientist (Graph Analytics)

Toronto, ON Full-time CA$127,000 - CA$203,000 / yearLead Data Scientist (Graph Analytics)

Mastercard is seeking a Lead Data Scientist for its Cyber Analytics team within Security Solutions Data Science. The role develops analytics and machine-learning solutions for cybersecurity, payments, and fraud, and includes people-management responsibilities for junior team members.

Responsibilities

• Design, develop, validate, and implement analytical solutions, predictive models, and machine-learning algorithms using large-scale payments, fraud, merchant, cybersecurity, and threat-intelligence data.
• Lead graph analytics and modeling, including graph schema design, relationship modeling, community detection, link analysis, graph embeddings, and graph neural networks.
• Identify hidden communities, anomalous relationships, compromise paths, and risk patterns across connected entities.
• Use Python, SQL, Spark, Hadoop, and Databricks to build scalable data pipelines, analytical datasets, model features, and production-ready solutions.
• Define model performance metrics, validation strategies, monitoring requirements, and business-outcome measures.
• Partner with product, engineering, cybersecurity, operations, and data science teams to deploy analytical capabilities;
  communicate findings and tradeoffs to technical and non-technical stakeholders.
• Coach and provide technical guidance, career-development support and feedback to junior team members.

Qualifications

• Bachelor's or Master's degree in a quantitative or related field.
• Experience leading data science projects from problem definition and research through validation, implementation, and production handoff.
• Substantial hands-on graph analytics experience, including graph data modeling, node and edge feature engineering, and scalable graph-based machine learning.
• Advanced Python and SQL skills and substantial experience with Apache Spark, Hadoop, Databricks, and distributed datasets.
• Strong knowledge of statistical modeling, machine learning, anomaly detection, feature engineering, model evaluation, and performance monitoring.
• Cybersecurity, web application security, threat-vector, or payment-card fraud knowledge is helpful.

Compensation

Toronto pay range: $127,000-$203,000 CAD. The successful candidate may also be eligible for a discretionary annual incentive program.

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