Mastercard

1 month ago

Director, Data Science

✓ 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

Lead a Data Science team in Mastercard’s Security Solutions group, driving research and development of merchant risk onboarding and profiling. Define strategy for scalable ML/AI solutions on modern data platforms (Databricks, Spark), ensure production-grade models, agile delivery, and strong collaboration with Product and Engineering to deliver measurable business value at scale.

Location: Vancouver, Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Define and execute the strategy for solving merchant risk during onboarding and monitoring through the research and development of a merchant registry and profiling capability.
•Lead, coach, and develop high-performing teams of Data Scientists, including hiring, mentorship, and performance management.
•Build a strong team culture focused on collaboration, accountability, and continuous learning.
•Guide the design of scalable machine learning and analytical systems using modern data and cloud platforms such as Databricks and Sparks.
•Establish best practices for problem framing, technique selection, experimentation, and validation across the team.

Pay and Benefits

Salary: CAD 154,000 - 247,000 annually

Perks:Remote WorkHealth InsuranceDental

Key Requirements

•Advanced degree (Master’s or PhD preferred) in Data Science, ML, or related field.
•Extensive experience leading a Data Science team and driving innovation.
•Excellent people leadership skills with hands-on ability when needed.
•Proven track record deploying high-performance machine learning models at scale in production.
•Strong proficiency with Python and SQL, and experience with scalable ML and cloud frameworks.

Experience:FintechPaymentsIdentityRiskAIML

Education:Master's

Skills:LeadershipStakeholder managementCommunicationMentorshipStrategic thinking

Tech Stack:PythonSQLDatabricksSparkCloud

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

Director, Data Science

✓ 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. Director level

Key Responsibilities

•Define and execute the strategy for solving merchant risk during onboarding and monitoring through the research and development of a merchant registry and profiling capability.
•Lead, coach, and develop high-performing teams of Data Scientists, including hiring, mentorship, and performance management.
•Build a strong team culture focused on collaboration, accountability, and continuous learning.
•Guide the design of scalable machine learning and analytical systems using modern data and cloud platforms such as Databricks and Sparks.
•Establish best practices for problem framing, technique selection, experimentation, and validation across the team.

Pay and Benefits

Salary: CAD 154,000 - 247,000 annually

Perks:Remote WorkHealth InsuranceDental

Key Requirements

•Advanced degree (Master’s or PhD preferred) in Data Science, ML, or related field.
•Extensive experience leading a Data Science team and driving innovation.
•Excellent people leadership skills with hands-on ability when needed.
•Proven track record deploying high-performance machine learning models at scale in production.
•Strong proficiency with Python and SQL, and experience with scalable ML and cloud frameworks.

Experience:FintechPaymentsIdentityRiskAIML

Education:Master's

Skills:LeadershipStakeholder managementCommunicationMentorshipStrategic thinking

Tech Stack:PythonSQLDatabricksSparkCloud

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