Associate Director Marketing Science / Advanced Analytics

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.

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 insightmoving 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.

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 researchspecific 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.

Required Qualifications

BA / BS in a related field such as Business, Economics, Statistics, Data Science, or Social Sciences; MA / MS or PhD preferred.

47 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.

Preferred Qualifications

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.

Why work for Material?

Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare.

Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.

A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in our clients' lives and their customers' lives.

Pay Range : $100,000.00 $130,000.00

The range shown represents a grouping of relevant ranges currently in use at Material. Actual range for this position may differ, depending on location and specific skillset required for the work itself.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.