Senior Marketing Mix Modeling Data Scientist

Cyclad works with top international IT companies to deliver cutting-edge technologies. We offer a dynamic and innovation-driven engineering environment.

• Proven track record of deploying Google’s Meridian or similar Bayesian frameworks in production
• Advanced proficiency in Python, Pandas, NumPy, PyMC/ArviZ, and Scikit-learn
• 6+ years experience in econometrics or causal inference with deep understanding of time-series analysis and multivariate regression
• Solid grasp of the modern media landscape including programmatic, social, search, and traditional broadcast attribution
• Very good English skills

Nice to have:

• Git
• Dashboards
• BigQuery

• Design and develop end-to-end Marketing Mix Modeling (MMM) models
• Maintain scalable Python pipelines for data ingestion and feature engineering
• Leverage Bayesian methods to incorporate prior knowledge and reach deeper insights into media ad-stock effects
• Translate technical model outputs into executive-level narratives guiding budget reallocation
• Calibrate MMM results using