Job Description
• Lead end-to-end development of Marketing Mix Models (MMM), from data preparation to model building, validation, and business recommendations.
• Design and implement econometric/statistical models (regression, Bayesian methods, time series, hierarchical modeling) to measure and forecast marketing ROI.
• Collaborate with clients and internal stakeholders to understand business objectives, translate them into analytical frameworks, and present insights with clarity.
• Mentor and guide junior team members in MMM techniques, coding best practices, and business storytelling.
• Drive automation and scalability in modeling pipelines and reporting dashboards.
• Explore and apply emerging methods (e.g., causal inference, machine learning) to enhance traditional MMM approaches.
• Proficiency in programming languages such as Python and/or R.
• Hands-on experience with SQL for data extraction and transformation