Mastercard

1 month ago

Senior Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Senior Data Scientist to develop AI/ML models for Mastercard’s Security Solutions identifying risks in agentic commerce, lead scalable data science systems across the model lifecycle, and collaborate in an Agile environment to deliver innovative risk-based solutions at scale.

Location: Vancouver, Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Execute the research and development of machine learning and analytical approaches to identify agents and risks in agentic commerce
•Explore new data signals, behavioral patterns, and entity relationships relevant to agent-driven transaction ecosystems
•Define problem formulations in a new domain where labels and taxonomies are evolving
•Prototype and develop machine learning solutions using Databricks, Spark, and scalable cloud environments
•Drive feature engineering and experimentation across structured and unstructured data sources

Pay and Benefits

Salary: CAD 111,000 - 160,000 annually

Key Requirements

•Bachelor’s degree in a quantitative field (Master’s or PhD preferred)
•Strong experience applying machine learning and advanced analytics to real-world problems
•Proficiency in Python and SQL with large-scale data processing
•Hands-on experience with scalable cloud-based DS platforms (Databricks, Azure)
•Experience with distributed data processing frameworks (Apache Spark)

Experience:PaymentsFintechCybersecurity

Education:Bachelor's

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonSQLDatabricksSparkAzure

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: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Senior Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Vancouver, Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Execute the research and development of machine learning and analytical approaches to identify agents and risks in agentic commerce
•Explore new data signals, behavioral patterns, and entity relationships relevant to agent-driven transaction ecosystems
•Define problem formulations in a new domain where labels and taxonomies are evolving
•Prototype and develop machine learning solutions using Databricks, Spark, and scalable cloud environments
•Drive feature engineering and experimentation across structured and unstructured data sources

Pay and Benefits

Salary: CAD 111,000 - 160,000 annually

Key Requirements

•Bachelor’s degree in a quantitative field (Master’s or PhD preferred)
•Strong experience applying machine learning and advanced analytics to real-world problems
•Proficiency in Python and SQL with large-scale data processing
•Hands-on experience with scalable cloud-based DS platforms (Databricks, Azure)
•Experience with distributed data processing frameworks (Apache Spark)

Experience:PaymentsFintechCybersecurity

Education:Bachelor's

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonSQLDatabricksSparkAzure

Company Brief

Mastercard

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: 4.1

Website LinkedIn Glassdoor