Manager, Marketing Science & Analytics

Crossmedia is the global media independent, committed to innovative media connections and transparency. They are hiring a Manager for Marketing Science & Analytics to lead analytical projects, partner with clients, and mentor team members, ensuring data-driven insights and recommendations.

Responsibilities:

• Lead marketing science and analytics workstreams 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 BigQuery 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

Requirements:

• 3+ years of experience in marketing science, statistics, econometrics, data science, or another quantitative discipline
• Strong foundation in statistics and hands-on experience applying analytical methods to real-world business problems
• Proficiency in Python, with experience using tools such as pandas, statsmodels, scikit-learn, PyMC, Meridian, or similar
• Strong SQL skills and experience working with large or complex datasets
• Experience with marketing measurement, including MMM, incrementality, experimentation, causal inference, or related methodologies
• Ability to independently manage analytical workstreams and client relationships while knowing when to bring in senior leadership
• Strong communication skills and the ability to explain complex analytical concepts to both technical and non-technical audiences
• Experience managing, mentoring, or developing junior team members
• Curiosity, sound analytical judgment, strong attention to detail, and a commitment to continuous learning
• Ability to thrive in a collaborative, evolving environment and move comfortably between client work, new business, and internal initiatives
• Experience with cloud data warehouses such as Snowflake or BigQuery
• Media or advertising experience is a plus