Mastercard

1 month ago

Senior Research Manager - 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

Lead advanced quantitative analytics within Mastercard's Advisors Research Center, applying techniques such as MaxDiff, Conjoint/Choice-Based Conjoint, Segmentation and Regression analysis to primary market research data. Manage multi-market studies, partner with senior researchers and consultants, mentor junior analysts, and translate complex analytical outputs into actionable insights for strategic decision-making across clients.

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Apply advanced quantitative analytical techniques to primary research datasets (e.g., MaxDiff, Conjoint/Choice-Based Conjoint, Segmentation, Regression)
•Support experimental design and analytical planning for advanced quantitative studies
•Analyze and interpret survey data to identify patterns, relationships, and trade-offs in respondent behavior
•Collaborate with cross-functional teams and external clients to translate analytical results into clear observations and implications
•Mentor junior analysts and contribute to development of analytical standards, templates, and best practices

Pay and Benefits

Salary: CAD 142,000 - 192,000 annually

Key Requirements

•Bachelor's degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative discipline; Master’s degree is a plus.
•Experience with advanced quantitative methodologies (e.g. conjoint, segmentation, max/diff, Bayesian network, TURF modeling) and building statistical models.
•Proficiency with analytical tools such as SPSS, R, DisplayR, and Sawtooth.
•Strong understanding of survey-based research design and primary data structures.
•Ability to interpret complex analytical outputs and communicate findings clearly to non-technical stakeholders

Experience:Financial servicesMarket researchQuantitative analytics

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingMentoringLeadership

Languages:English

Tech Stack:SPSSRDisplayRSawtoothConjointMaxDiffBayesian networkTURF modeling

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

Loading job details...

Preparing the role view and application actions.

Mastercard

1 month ago

Senior Research Manager - 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: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Apply advanced quantitative analytical techniques to primary research datasets (e.g., MaxDiff, Conjoint/Choice-Based Conjoint, Segmentation, Regression)
•Support experimental design and analytical planning for advanced quantitative studies
•Analyze and interpret survey data to identify patterns, relationships, and trade-offs in respondent behavior
•Collaborate with cross-functional teams and external clients to translate analytical results into clear observations and implications
•Mentor junior analysts and contribute to development of analytical standards, templates, and best practices

Pay and Benefits

Salary: CAD 142,000 - 192,000 annually

Key Requirements

•Bachelor's degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative discipline; Master’s degree is a plus.
•Experience with advanced quantitative methodologies (e.g. conjoint, segmentation, max/diff, Bayesian network, TURF modeling) and building statistical models.
•Proficiency with analytical tools such as SPSS, R, DisplayR, and Sawtooth.
•Strong understanding of survey-based research design and primary data structures.
•Ability to interpret complex analytical outputs and communicate findings clearly to non-technical stakeholders

Experience:Financial servicesMarket researchQuantitative analytics

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingMentoringLeadership

Languages:English

Tech Stack:SPSSRDisplayRSawtoothConjointMaxDiffBayesian networkTURF modeling

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