Senior Data Scientist (Marketing Mix)

About the role

We are looking for a Senior Data Scientist to lead Marketing Mix Modeling and related analytics projects. You will work with cross‑functional teams to turn marketing, media, sales, pricing and promotional data into actionable insights that drive performance and investment decisions.

Key responsibilities

• Develop and enhance Marketing Mix Models to quantify the impact of media, promotions, pricing, seasonality and other drivers.
• Apply regression, time‑series, econometric and machine‑learning techniques to measure incremental effects, modelling carry‑over, saturation and response curves.
• Design scenario‑planning and optimization tools to guide media budget allocation and investment strategies.
• Validate assumptions, assess uncertainty and ensure business plausibility using diagnostics, SHAP values and sensitivity analysis.
• Communicate findings and recommendations clearly to both technical and non‑technical audiences.
• Collaborate with Marketing, Commercial, Finance, BI and Data Engineering to define KPIs, success criteria and reproducible workflows.
• Mentor junior colleagues and contribute to reusable methodologies and best‑practice standards.

Required profile

• Strong professional experience in Data Science, Marketing Science, Econometrics or Commercial Analytics with end‑to‑end modelling impact.
• Hands‑on experience in at least one of: Marketing Mix Modeling, sales/demand forecasting, pricing & promotions analytics, econometric or time‑series modelling, budget/resource optimization.
• Proven ability to translate complex analytical results into business‑focused recommendations.

Required skills

• Regression analysis
• Time‑series modelling
• Econometrics
• Machine‑learning techniques
• SHAP (explainability)
• Diagnostics and sensitivity analysis