Key Responsibilities

• Build and maintain data science models such as Marketing Mix Models using regression-based techniques, working with weekly or monthly time-series data across media, pricing, and promotional variables.
• Conduct data validation, cleaning, and QA on client-provided datasets to ensure model-ready inputs.
• Run statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs.
• Support model documentation and prepare structured outputs (Excel workbooks, charts, summary tables) for internal and client review.
• Collaborate with senior team members on methodology decisions and model refinement.
• Contribute to internal tooling and process improvements as the team scales.
•