Senior Marketing Research Scientist

Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!

The Brand Pillar of Research Science, within the broader Decision Science team, is a critical driver of Domino's industry-leading growth. We pair strategic thought leadership with technical expertise in primary market research, experimental design, and data analytics to uncover consumer and brand insights that inspire the organization to be consumer- and customer-centric, delivering exceptional marketing activations.

The Senior Marketing Research Scientist is a technical expert in research design, advanced analytics, and data synthesis. This role requires mastery of a wide range of research methodologies and the ability to determine when and how to apply them to answer complex business questions. The ideal candidate is fluent in data querying, advanced statistical analysis, and the integration of data sources to provide actionable insights that inform Domino's strategy, brand positioning, and customer engagement efforts.

As a technical leader, this role will focus exclusively on methodology development, technical execution, and high-impact analysis, working closely with a dedicated project manager to coordinate logistics and vendor relationships.

RESPONSIBILITIES AND DUTIES

Research Design and Methodology Expertise

• Serve as the company’s technical authority on research design and methodology, selecting the right approach to answer strategic questions.
• Apply expertise across a wide range of research methodologies, including:
  • Quantitative: Experimental design (A/B, multivariate), longitudinal studies, surveys, discrete choice/conjoint analysis, segmentation, TURF, MaxDiff, and advanced regression models.
  • Qualitative: Focus groups, in-depth interviews (IDIs), ethnographic research, diary studies, co-creation and ideation sessions, journey mapping.
  • Hybrid: Mixed-method approaches, triangulation, and iterative testing.
• Mentor team members and business partners on methodology selection, statistical rigor, and experimental design best practices.

Advanced Data Analytics and Synthesis

• Write and optimize data queries to extract and manipulate large datasets for research analysis.
• Conduct advanced statistical analyses (e.g., cluster/factor analysis, regression, ANOVA, experimental design analysis, time series modeling, Bayesian methods).
• Synthesize findings from primary and secondary research, internal databases, and syndicated sources to produce comprehensive insight narratives.
• Partner with analytics teams to integrate behavioral, transactional, and attitudinal data.

Research Leadership and Strategic Impact

• Lead the design, execution, and analysis of research initiatives to inform strategy, marketing effectiveness, and customer experience.
• Partner with Marketing, Media, Advertising, and cross-functional leaders to translate business needs into technical research questions and actionable solutions.
• Build dashboards, data visualizations, and reporting solutions that enable fast decision-making and deepen understanding of brand and customer dynamics.
• Monitor macro trends, competitive movements, and consumer sentiment shifts to anticipate future business opportunities.
• Ensure methodological rigor and bias mitigation in all research, fostering trust and reliability in findings across the organization.

• Experience: 6+ years of experience in consumer research, applied data analysis, and marketing science (restaurant/food service industries preferred).
• Technical Expertise:
  • Proven mastery of research methodology, experimental design, and applied statistics.
  • Advanced skills in data querying, and manipulation of large datasets.
  • Experience with statistical software (e.g., R, Python, SPSS, SAS, or similar).
• Education: Bachelor’s degree in Marketing, Statistics, Data Science, Psychology, Economics, or related field required; Master’s degree preferred.
• Business Impact: Demonstrated ability to turn research and analytics into actionable insights with measurable impact.
• Communication: Strong storytelling skills, with a track record of influencing senior stakeholders and executives.
• Leadership: Ability to mentor and elevate technical skills of junior researchers.
• Adaptability: Thrives in a fast-paced environment with shifting priorities, balancing technical rigor with business agility.

Key Tools & Platforms

• Data Management & Analytics: Excel, SQL, Databricks, Python, R
• Survey & Research Platforms: Qualtrics, similar survey/research management software
• Data Visualization & BI Tools: Tableau, Power BI, or similar
• Statistical Software: R, Python, SPSS, SAS
• NLP & Text Analytics: Hugging Face, LLM-based tooling, topic modeling libraries

Location: Ann Arbor, MI (Onsite- Mon-Thurs)

All your information will be kept confidential according to EEO guidelines.