Senior Research Manager - Primary Market Research, Data Scientist

As a Senior Research Manager - Data Science within the Advisors Research Center (ARC) Quant Research team in Global Facilities India (GFI) at Mastercard, your role involves applying advanced analytical and statistical techniques to primary research datasets. You will partner closely with ARC researchers to interpret complex findings and translate analytical outputs into clear marketing, product, and strategic implications. Key Responsibilities: - Apply advanced quantitative analytics to complex primary research datasets, including segmentation, MaxDiff, conjoint / choice modeling, regression, factor analysis, and related techniques. - Utilize machine learning and advanced statistical techniques to solve business problems like predictive models, decision trees, and causal analyses. - Assist in the methodological design and execution of complex studies, collaborating 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 ensure consistent delivery across projects. - Collaborate with data processing, scripting, visualization teams, and research vendors to maintain analytical integrity throughout the process. - Mentor junior analysts and contribute to analytical standards and best practices within ARC. Qualifications & Skills: - Strong experience in quantitative market research, marketing science, or applied analytics, with a focus on advanced methodologies. - Hands-on experience with segmentation, MaxDiff, conjoint / choice modeling, regression, factor analysis, TURF, and perceptual mapping. - Proficiency in tools like Sawtooth, R, SPSS, and DisplayR; familiarity with Python is a plus. - Understanding of survey-based research design and primary data structures. - Ability to communicate complex analytical results clearly to non-technical audiences. - Experience analyzing primary market research data, with the capability to integrate secondary or client-owned data when necessary. In addition to your role responsibilities, you will be expected to abide by Mastercard's security policies, ensure confidentiality and integrity of accessed information, report any security violations, and complete mandatory security trainings as per guidelines. As a Senior Research Manager - Data Science within the Advisors Research Center (ARC) Quant Research team in Global Facilities India (GFI) at Mastercard, your role involves applying advanced analytical and statistical techniques to primary research datasets. You will partner closely with ARC researchers to interpret complex findings and translate analytical outputs into clear marketing, product, and strategic implications. Key Responsibilities: - Apply advanced quantitative analytics to complex primary research datasets, including segmentation, MaxDiff, conjoint / choice modeling, regression, factor analysis, and related techniques. - Utilize machine learning and advanced statistical techniques to solve business problems like predictive models, decision trees, and causal analyses. - Assist in the methodological design and execution of complex studies, collaborating 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 ensure consistent delivery across projects. - Collaborate with data processing, scripting, visualization teams, and research vendors to maintain analytical integrity throughout the process. - Mentor junior analysts and contribute to analytical standards and best practices within ARC. Qualifications & Skills: - Strong experience in quantitative market research, marketing science, or applied analytics, with a focus on advanced methodologies. - Hands-on experience with segmentation, MaxDiff, conjoint / choice modeling, regression, factor analysis, TURF, and perceptual mapping. - Proficiency in tools like Sawtooth, R, SPSS, and DisplayR; familiarity with Python is a plus. - Understanding of survey-based research design and primary data structures. - Ability to communicate complex analytical results clearly to non-technical audiences. - Experience analyzing primary market research data, with the capability to integrate secondary or client-owned data when necessary. In addition to your role responsibilities, you will be expected to abide by Mastercard's security policies, ensure confidentiality and integrity of accessed information, report any security violations, and complete mandatory security trainings as per guidelines.