Lead Data Scientist

Mastercard
Toronto
Workplace: OnsiteFull timeCAD 127,000 - 203,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Scientific communication","Data governance","Privacy awareness","Critical thinking","Scientific reasoning"]

Develop, deploy, and monitor end-to-end data science solutions using machine learning and deep learning techniques to address business and product needs across the Ethoca organization. Own the full lifecycle from transforming business problems into research questions through data extraction, cleaning, modeling, and evaluation, then deploy, document, and maintain solutions. Communicate results to diverse audiences and support knowledge sharing via external presentations and publications.

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FursaFursa
Mastercard
Mastercard
1 month ago

Lead Data Scientist

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

Job Summary

Develop, deploy, and monitor end-to-end data science solutions using machine learning and deep learning techniques to address business and product needs across the Ethoca organization. Own the full lifecycle from transforming business problems into research questions through data extraction, cleaning, modeling, and evaluation, then deploy, document, and maintain solutions. Communicate results to diverse audiences and support knowledge sharing via external presentations and publications.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Transform business challenges into scientific research problems and develop data-driven solutions using AI, ML, and DL techniques.
  • •Build and execute data science projects for product and technology use cases across the Ethoca organization.
  • •Perform hands-on data extraction, analysis, cleaning, preparation, modeling, and evaluation.
  • •Deploy, document, maintain, and monitor developed solutions, including building prototypes and proof-of-concepts.
  • •Present results to a variety of audiences and collaborate with internal teams across Mastercard.

Pay and Benefits

Salary: CAD 127,000 - 203,000 annually

Key Requirements

  • •Substantial experience developing and deploying machine learning and deep learning solutions end-to-end (data exploration to deployment).
  • •Deep understanding of machine learning, deep learning, and AI algorithms, including the underlying math.
  • •Strong scientific communication skills and ability to present results to varied audiences.
  • •Experience handling data responsibly, including data governance, privacy, and data ring-fencing standards.
  • •Master’s in computer science or a quantitative field (PhD is good to have).
Education:Master's
Skills:Scientific communicationData governancePrivacy awarenessCritical thinkingScientific reasoning
Tech Stack:PythonR ProgrammingScikit learnTensorFlowPyTorchSQLSAP HANAHadoopSnowflakeLinuxAzureAzure Machine LearningDatabricks

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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