Senior Data Scientist - Marketing Mix Modelling

Are you a seasoned Data Scientist with expertise in Marketing Mix Modelling (MMM)? A prestigious pharmaceutical client is looking for a Senior Data Scientist to lead high-impact projects in data-driven marketing optimisation. This role offers an exciting opportunity to apply advanced statistical and machine learning techniques to real-world marketing challenges.

• Data Collection & Analysis: Oversee data extraction, manipulation, and analysis, ensuring accuracy and readiness for modelling.
• Model Building: Design base models, integrating KPI drivers, selecting variables, and interpreting coefficients to align with project goals.
• Model Enhancement: Refine and build upon base models to enhance accuracy and reliability, guiding the model towards finalisation.
• KPI & Scenario Analysis: Generate response curves, optimisation charts, and budget allocation scenarios to meet forward-looking client objectives.
• Model Validation: Assess model performance, pinpoint improvement areas, and ensure robustness and validity.

• Experience: Minimum 5 years in Marketing Mix Modelling with a proven track record of developing and implementing MMM models.
• Technical Proficiency: Expert-level Python and SQL skills, with familiarity in R and solid experience with Pymc and cloud-based data science frameworks (Azure preferred).
• Advanced Statistical Knowledge: Proficient in regression-based models, probabilistic programming, and Bayesian methods.
• Complex Data Management: Expertise in working with large datasets using SQL and Spark.
• Analytical Expertise: Strong foundation in optimisation, applied mathematics, and simulation.
• Education: MS or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a related discipline with a solid modelling background.

Why Join?
This is a unique opportunity to shape the future of data-driven marketing strategies in a high-impact sector. Use your expertise to drive innovation and optimise marketing performance for a global pharmaceutical leader.