Data Scientist II

Mastercard
Toronto
Workplace: OnsiteFull timeCAD 91,000 - 140,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Critical thinking","Teamwork"]

Data Scientist II in Mastercard’s Security Solutions team develops AI/ML models for identity and risk across authentication and authorization. You’ll build end-to-end data science capabilities, from data extraction and feature engineering to validation, deployment, and monitoring, focusing on merchant risk during onboarding and monitoring using big data platforms like Databricks and Spark.

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FursaFursa
Mastercard
Mastercard
2 months ago

Data Scientist II

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

Job Summary

Data Scientist II in Mastercard’s Security Solutions team develops AI/ML models for identity and risk across authentication and authorization. You’ll build end-to-end data science capabilities, from data extraction and feature engineering to validation, deployment, and monitoring, focusing on merchant risk during onboarding and monitoring using big data platforms like Databricks and Spark.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze large-scale transaction, merchant, and related entity data to identify patterns, trends, and anomalies.
  • •Support the research and development of a merchant registry and profiling capability to strengthen merchant risk assessment during onboarding and ongoing monitoring.
  • •Contribute to feature engineering, entity resolution, and analytical workflows that improve merchant-level intelligence.
  • •Prototype machine learning and analytical solutions under guidance from senior team members.
  • •Help build and maintain scalable data and model workflows using Databricks and Spark-based environments.

Pay and Benefits

Salary: CAD 91,000 - 140,000 annually

Key Requirements

  • •Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative discipline such as Engineering, Economics, or Physics.
  • •Experience in applying data science and machine learning to solve real business problems.
  • •Solid foundation in statistics, analytics, and core machine learning concepts.
  • •Experience with Python and SQL; familiarity with Pandas for data manipulation and analysis.
  • •Exposure to large datasets and interest in scalable data processing; familiarity with Spark is a plus.
Experience:PaymentsRiskFintech
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingCritical thinkingTeamwork
Tech Stack:PythonSQLPandasDatabricksSpark

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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