Data Scientist - MMM

JOB DESCRIPTION

Responsibilities • 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. • Communicate findings effectively through visualizations, presentations, and business-focused storytelling.

Qualifications: • 4–8 years of experience in advanced analytics, with a strong focus on Marketing Mix Modeling. • Proven experience leading MMM projects for global clients across industries (CPG, Retail, BFSI, Tech, etc.). • Strong statistical/econometric modeling skills (e.g., regression, time series, Bayesian methods). • Proficiency in programming languages such as Python and/or R. • Hands-on experience with SQL for data extraction and transformation. • Strong problem-solving skills and ability to work with large, complex datasets. • Excellent client-facing skills, with experience in consulting and presenting insights to senior business stakeholders. • Ability to manage multiple projects in a fast-paced, dynamic environment.