Data Scientist II

Mastercard
Vancouver
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Python","SQL","Pandas","Spark","Databricks","Data manipulation","Machine learning","Statistics","Agile","Communication"]

Data Scientist II on Mastercard’s Security Solutions Data Science team focuses on building AI/ML models to power identity and risk solutions across onboarding and ongoing monitoring. You’ll develop scalable data science capabilities, work with Databricks/Spark, and collaborate across Data Science, Product, and Engineering in an Agile environment to improve merchant risk assessment and overall security of digital transactions.

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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 on Mastercard’s Security Solutions Data Science team focuses on building AI/ML models to power identity and risk solutions across onboarding and ongoing monitoring. You’ll develop scalable data science capabilities, work with Databricks/Spark, and collaborate across Data Science, Product, and Engineering in an Agile environment to improve merchant risk assessment and overall security of digital transactions.
Location: Vancouver
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

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

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:FintechPaymentsFinancial services
Education:Bachelor's
Skills:PythonSQLPandasSparkDatabricksData manipulationMachine learningStatisticsAgileCommunication
Tech Stack:PythonSQLPandasSparkDatabricks

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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