Principal Marketing Data Scientist at Quizlet

The Principal Marketing Data Scientist should have a strong background in designing and implementing measurement architectures for top-of-funnel growth, including expertise in various incrementality testing methods like geo/user holdouts, synthetic controls, CUPED, and diff-in-diff. Candidates must be proficient in triangulating Marketing Mix Modeling (MMM) with incrementality and platform data, forecasting and allocating spend with uncertainty bounds, and modeling payback windows across different scenarios. Experience building decision-driving reporting, developing creative learning agendas and taxonomies, and understanding audience and growth-segment insights is crucial. The role requires specifying and evaluating measurement stacks, defining data quality standards, and navigating privacy constraints like ATT and Privacy Sandbox. Leadership through influence, coaching peers, and setting analysis and code standards are also key requirements.