Lead Data Scientist

Mastercard
Vancouver, Toronto
Workplace: HybridFull timeCAD 127,000 - 203,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Stakeholder influence","Problem-solving","Critical thinking","Leadership"]

Design, build, and monitor production-ready machine learning and statistical models for merchant risk, fraud detection, merchant credit risk, and Anti-Money Laundering. Lead the full model lifecycle—feature engineering through deployment, performance monitoring, and interpretability—while partnering with product, engineering, QA, and business stakeholders. Drive end-to-end data science initiatives using large-scale transaction data, balancing hands-on development with cross-functional leadership in a lean, hybrid environment.

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FursaFursa
Mastercard
Mastercard
1 month ago

Lead Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Design, build, and monitor production-ready machine learning and statistical models for merchant risk, fraud detection, merchant credit risk, and Anti-Money Laundering. Lead the full model lifecycle—feature engineering through deployment, performance monitoring, and interpretability—while partnering with product, engineering, QA, and business stakeholders. Drive end-to-end data science initiatives using large-scale transaction data, balancing hands-on development with cross-functional leadership in a lean, hybrid environment.
Location: Vancouver, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, evaluate, enhance, and monitor ML and statistical models for merchant risk, fraud detection, merchant credit risk, AML, and payment-related risk use cases.
  • •Oversee feature engineering, model training/validation, packaging, production support, and performance monitoring across the full model lifecycle.
  • •Ensure model quality, robustness, interpretability, documentation, and production reliability.
  • •Lead hands-on model development, experimentation, and technical problem solving using large-scale merchant/acquiring and transaction data.
  • •Partner with product, engineering, development, QA, customer success, and business stakeholders to define problem statements, success metrics, implementation needs, and release readiness.

Pay and Benefits

Salary: CAD 127,000 - 203,000 annually

Key Requirements

  • •Bachelor’s or Accelerated Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.
  • •Relevant experience in data science, AI, or machine learning roles with proven end-to-end project ownership.
  • •Strong Python expertise for machine learning model development, including standard data science libraries and distributed data processing frameworks such as PySpark.
  • •Hands-on experience with Databricks or similar distributed data platforms working with large-scale transaction datasets.
  • •Experience with fraud/risk modelling techniques and tools such as XGBoost (or similar approaches).
Education:Bachelor's
Skills:CommunicationStakeholder influenceProblem-solvingCritical thinkingLeadership
Tech Stack:PythonPySparkDatabricksXGBoostMachine learning

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
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