Senior Research Manager - Primary Market Research, Data Scientist (L6)

Senior Research Manager – Primary Market Research, Data Scientist (L6)

Job Description: Senior Research Manager – Quantitative Primary Research, Data Science

• Apply advanced quantitative analytics to complex primary research datasets, such as segmentation, MaxDiff, conjoint / choice modeling, conjoint and choice-based modelling, regression and factor analysis and related techniques.


• Apply machine learning and advanced statistical techniques to solve business problems (e.g., predictive models, decision trees, causal and discriminant analyses), where appropriate for the research context.


• Support methodological design and execution for complex studies, working closely with ARC researchers during questionnaire development and analysis planning.


• Translate analytical outputs into clear observations, implications, and limitations for non‑technical stakeholders.


• Develop and scale reusable analytical tools, frameworks, and assets to support consistent delivery across projects (e.g., simulators, dashboards, predictive models, analytical frameworks


• Partner with data processing, scripting, visualization teams, and research vendors to ensure analytical integrity end-to-end.


• Mentor junior analysts and contribute to analytical standards and best practices within ARC.

• 10–12 years of experience in quantitative market research, marketing science, or applied analytics, with strong use of advanced methodologies.


• Deep hands-on experience with segmentation, MaxDiff, conjoint / choice modeling, regression, factor analysis, TURF, and perceptual mapping and similar methodologies.


• Strong proficiency with tools such as Sawtooth, R, SPSS, and DisplayR; Python is a plus.


• Strong understanding of survey‑based research design and primary data structures.


• Ability to clearly explain complex analytical results, assumptions, and tradeoffs to non‑technical audiences.


• Experience primarily analyzing primary market research data, with the ability to integrate secondary or client-owned data where required.

• 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

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.