MASS Analytics
TunisiePublication : 5 janv. 2026
Marketing Science - Building an Automated Pipeline for MMM Scenario Simulation
- Stage
- 4-6 mois
- Présentiel
- Échéance : 19 janv. 2026
- Marketing Mix Modeling
- Data science / data engineering
- Time Series Forecasting
- Software Engineering (Python)
- Service Desk Automation
- Media Planning
Description du poste
Description: Advertisers need to compare media activation strategies (e.g., Always-On vs On/Off) but often lack granular plans, making scenario construction slow and manual. This project converts high-level strategies into detailed, week-level laydowns compatible with forecasting tools, automating scenario generation to enable faster comparisons and clearer decision-making.
Key attributes / Main competencies:
- Experience with data science toolkits (Python, R, etc.)
- Understanding of econometrics concepts and MMM methodologies
- Familiarity with data processing techniques and best practices
- Proficiency in Python
- Strong analytical and problem-solving skills
Learning outcomes:
- Develop a methodology to translate strategies into granular MMM-ready scenarios
- Automate scenario creation to enhance forecasting speed and reliability
- Improve consistency and scalability of laydown planning
- Deepen understanding of media planning logic and MMM forecasting workflows