Research Manager – Primary Market Research & Data Scientist

About the role

Mastercard’s Advisors Research Center (ARC) is expanding its Quantitative Research capability. The role combines deep market‑research expertise with advanced data‑science techniques to turn complex primary research data into actionable insights for product, marketing and strategy teams.

Key responsibilities

• Apply advanced quantitative methods – segmentation, MaxDiff, conjoint/choice modeling, regression, factor analysis – to large primary research datasets.
• Develop and deploy machine‑learning models (predictive models, decision trees, causal and discriminant analyses) where appropriate.
• Partner with ARC researchers on study design, questionnaire development and analysis planning.
• Translate analytical outputs into clear, non‑technical observations, implications and recommendations.
• Build and scale reusable analytical tools, dashboards, simulators and frameworks for consistent project delivery.
• Collaborate with data‑processing, scripting and visualization teams, as well as external vendors, to ensure end‑to‑end analytical integrity.
• Mentor junior analysts and help define analytical standards and best practices.

Required profile

• 10–12 years of experience in quantitative market research, marketing science or applied analytics.
• Proven track record of using advanced methodologies to solve business problems.
• Strong statistical judgment and ability to work with complex, multi‑source datasets.

Required skills

• Segmentation
• MaxDiff
• Conjoint and choice modeling
• Regression analysis
• Factor analysis
• Machine learning
• Predictive modeling
• Decision trees
• Causal analysis
• Discriminant analysis
• Data processing
• Scripting
• Visualization
• Dashboard development