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• Identify opportunities to innovate with emerging technologies, including generative AI, Retrieval Augmented Generation (RAG), and agentic workflows, to improve forecasting, automation, and insight generation.
• Guide the creation of dashboards, reporting tools, and analytical deliverables that enable stakeholders to monitor performance, understand drivers of success, and make data‑informed decisions.
• Mentor and develop a high‑performing analytics team, fostering a culture of curiosity, technical excellence, and collaborative problem‑solving.
• Serve as a thought leader within the organization, staying current on industry trends in marketing science, measurement, and entertainment analytics....• Minimum of 10+ years of experience in data science or marketing analytics
• 6+ years of experience with conducting data analysis in Python or R
• 6+ years utilizing databases and SQL
• 3+ years experience with media measurement, modeling, and optimization in an agency, consulting firm, or client-side role focused on marketing data science and / or media mix modeling.
• Masters Degree in Economics, Statistics, Mathematics, Computer Science, or similar quantitative field
• Quantitatively oriented Ph.D preferred
• Hands on experience with techniques for modeling advertising effectiveness with media mix models (MMM), multi-touch-attribution (MTA), and/or marketing experimentation
• Nuanced understanding of how to utilize advanced statistical techniques to provide key insights that overcome structural challenges in data availability
• Familiarity with marketing technology tools such as ad platforms (Google, Facebook), identity resolution tools (LiveRamp, Neustar), web analytics (