Associate Director Marketing Science/Advanced Analytics

Material • Austin, NY

5d • $100,000 - $130,000

About The Position

Associate Director, Marketing Science/Advanced Analytics This role is to be based near one of our offices in New York City, Los Angeles, Oakland or Austin. About Us We drive intelligent growth for ambitious businesses and leading brands. Customer understanding is more potent and drives greater value when insights go to work directly within marketing and experience priorities. To give our clients that advantage, we put an insights-driven operating system at the core of our design, go-to-market and digital experience solutions. Material clients make smarter growth choices because they can see clearly how and when to take the shots that count. Together, we connect consumer intelligence with customer demand generation to build lasting, profitable relationships. About the Role We are looking for an Associate Director, Marketing Science/Advanced Analytics to join our team and help shape the next chapter of how analytics drives insight, creativity, and business impact. This role sits at the intersection of advanced analytics, experimentation, and human-centered insight—moving beyond pure technical execution toward thoughtful problem framing, rapid learning, and storytelling that clients can act on. The ideal candidate is deeply curious about data and people, energized by experimentation, and excited to work with large, complex datasets across traditional market research, CRM, and emerging data sources. You will lead marketing science studies end-to-end, mentor junior talent, and serve as a strategic thought partner to Business Units and clients. Success in this role requires strong technical fluency, comfort navigating ambiguity, and the ability to translate complexity into clear, compelling recommendations.

Requirements

• BA/BS in a related field such as Business, Economics, Statistics, Data Science, or Social Sciences; MA/MS or PhD preferred.
• 4–7 years of experience applying advanced analytics in market research, marketing science, customer analytics, or a related field (adjustable depending on depth of experience).
• Strong proficiency in R and/or Python for data manipulation, modeling, and visualization.
• Proven ability to translate complex analyses into clear business implications in a client-facing or stakeholder-facing environment.
• Excellent written and verbal communication skills.

Nice To Haves

• Experience with SPSS, VBA, or other analytics tools.
• Experience working with large datasets and modern data environments, including SQL and enterprise data warehouses (e.g., Snowflake, BigQuery, AWS).
• Hands-on experience with CRM data, experimentation frameworks (A/B testing, test-and-learn), or synthetic data approaches.
• Strong grounding in survey design and research methodology.
• Experience working in agile or fast-paced, iterative environments.

Responsibilities

• Design and execute advanced analytical approaches including regression modeling, segmentation, factor analysis, Bayesian methods, time series modeling, and causal or quasi-causal techniques.
• Lead market research–specific analyses such as MaxDiff, TURF, discrete choice / conjoint models, and advanced segmentation solutions.
• Apply predictive modeling and machine learning where appropriate to marketing problems, with strong judgment on when traditional methods are more suitable"
• Transform, validate, and integrate large, complex datasets across survey, CRM, behavioral, and experimental sources.
• Work within modern data environments and enterprise data warehouses (e.g., Snowflake, BigQuery, AWS) to support scalable, reproducible analytics.
• Translate complex analyses into clear, actionable insights, communicating the “why” behind results through strong storytelling and visualization.
• Serve as a trusted thought partner to Business Units and client-facing teams, collaborating as a strategic and creative partner rather than a handoff resource.
• Mentor junior team members, manage priorities and timelines across multiple projects, and contribute to a culture of curiosity, experimentation, and shared learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees