Senior Research Manager - Data Scientist

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Research Manager - Data Scientist

Job Description: Senior Research Manager – Data Scientist (L6)
Location: Toronto, Canada

Overview
The Advisors Research Center (ARC) is a global team of researchers within Mastercard that delivers high-quality, end‑to‑end research in support of Mastercard’s Advisors and Consulting Services. ARC partners closely with consulting teams and internal stakeholders to design, execute, and deliver rigorous research that informs strategic decision‑making for clients across industries and markets.

This role sits within the ARC Quant Research capability and focuses on applying advanced quantitative analytics to primary market research data to support interpretation, insight development, and decision-making.

This is an opportunity to help shape ARC’s advanced analytics capability within primary market research. You will work on complex, multimarket studies, apply sophisticated analytical methods, and partner closely with senior researchers and consultants. The role offers strong intellectual challenges, visibility, and the chance to build advanced analytics depth within a growing global research organization.


Role:
As a Quantitative Senior Research Manager – Advanced Analytics, you will apply advanced analytical and statistical techniques to primary research datasets and partner closely with ARC researchers to interpret complex findings. You will act as a technical and analytical specialist, supporting the design, execution, and interpretation of advanced quantitative methodologies.

Candidates for this position should be comfortable working with complex datasets, applying statistical judgment, and translating analytical outputs into clear research implications.

Key responsibilities include:
Apply advanced quantitative analytical techniques to primary research datasets

Execute and interpret methodologies such as MaxDiff, Conjoint / Choice‑Based Conjoint, Segmentation, and Regression analysis

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

Sense‑check analytical outputs, validate model results, and assess methodological robustness

Collaborate effectively with various cross-functional teams across multiple, simultaneous projects and with external clients

Translate advanced analytical results into clear observations and implications for ARC researchers and consulting teams

Advise on methodological choices, limitations, and analytical feasibility during study design and execution

Partner with data processing, scripting, and visualization teams to ensure analytical integrity across the research lifecycle

Contribute to development of analytical standards, templates, and best practices within ARC

Support mentoring and upskilling of junior analysts on advanced analytics techniques

Passion for innovation, continuous learning, and staying at the forefront of data and analytics in the financial services domain

Qualifications & Skills:

Experience in quantitative market research, analytics, or a related research role (research agency experience is a plus)

Strong hands-on experience with advanced quantitative methodologies (e.g. conjoint, segmentation, max/diff, Bayesian network, TURF modeling, etc…) and in building statistical models

Proficiency with analytical and research 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

High attention to detail, analytical rigor, and problem‑solving skills

Experience supporting multi‑market or regional studies is strongly preferred

Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative discipline; Master’s degree is a plus


All About You
Passionate about applying analytics to real‑world research questions

Enjoy working with complex data and uncovering meaningful patterns

Comfortable partnering with researchers to shape interpretation and insights

Curious, methodical, and rigorous in your analytical approach

Collaborative and effective in cross‑functional, global team environments

Motivated by intellectually challenging work and continuous learning

Toronto Base Salary Range: 142,000-192,000 CAD

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.