Manager, Marketing Science & Analytics

WHO WE ARE

Crossmedia is the global media independent. We’re committed to doing media and business the right way, guided by the principles of TRUST, REASON and the Pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Cross medians worldwide with big ambitions to continue to grow with soul.

We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients  greatest business challenges.

The Pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues’ professional & personal wellbeing and growth. It’s why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age’s Best Places to Work for the past seven years in a row.

We have offices in the US, London and Germany. Our client roster includes U.S. Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, American Cancer Society, Ricola, Herschend Family Entertainment, Zalando, Edible Arrangements, Citizens Bank, and more.

We are hiring a Supervisor, Marketing Science & Analytics to join Redbox, Crossmedia’s marketing science and data science team. You will serve as a day-to-day analytical lead across client engagements, new business opportunities, and internal initiatives, partnering closely with Analysts, Engineers, Directors, and cross-functional agency teams.

This role combines hands-on statistical and data science expertise with client leadership, team management, and the ability to translate complex business questions into clear, actionable insights.

• Lead marketing science and analytics work streams across current clients, new business, and internal initiatives, managing projects from data and measurement through analysis, insights, and recommendations.
• Partner directly with clients and account teams to define measurement objectives, translate business questions into testable hypotheses, and develop rigorous analytical approaches.
• Apply statistical and data science methods including media mix modeling (MMM), regression, causal inference, experimentation, geo-lift/DMA holdout testing, Bayesian methods, segmentation, forecasting, and optimization.
• Build, interpret, and communicate statistical models and translate complex analyses into compelling, actionable stories for clients and internal stakeholders.
• Use Python and SQL to analyze data and build reproducible, well-documented analytical workflows; experience with cloud data warehouses such as Snowflake or Big Query is preferred.
• Develop dashboards, visualizations, and other data products using tools such as Tableau, Python visualization libraries, or Datorama.
• Manage analytical delivery and execution with external measurement and data partners.
• Serve as a trusted statistical and marketing science expert in client meetings, confidently explaining methodology, findings, limitations, and recommendations.
• Ensure analytical work is statistically rigorous, reproducible, and meets XM’s standards for quality.
• Lead and mentor Analysts and Data Scientists, providing guidance on prioritization, analytical approaches, coding practices, and professional development.
• Keep Directors and account teams informed of project progress, risks, and key decisions, escalating issues and seeking senior support when appropriate.
• Contribute to the development of Redbox’s marketing science and data science capabilities through training, thought leadership, technical content, and new methodologies.
• Participate in broader team and agency initiatives, including talent development, recruiting, vendor management, and department planning.
• Stay current on emerging statistical, data science, and marketing measurement approaches and adapt as Redbox’s tools and capabilities evolve.

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