Lead Marketing Scientist

About the role

The role is anchored in scientific rigor and demands strong foundations in econometrics, causal inference, and statistical learning. You will focus on building robust, interpretable, and scalable models — particularly in Marketing Mix Modeling (MMM) — while ensuring causal validity and statistical soundness.

What you'll do

• Econometric Modeling & MMM Development
• Lead the design and implementation of Marketing Mix Models (MMM), formulating business problems as rigorous quantitative and statistical models
• Build models using regression-based approaches (linear and non-linear), time series methods for trend, seasonality, and forecasting
• Incorporate core marketing science constructs, including adstock and lag effects, saturation and diminishing returns, and external drivers and control variables
• Ensure statistical robustness through proper model specification, parameter stability and interpretability, and sensitivity analysis

What you need

• 8–12 yrs of experience
• Analytics
• Python
• Statistics
• SQL
• R
• Machine learning
• PhD