MASS Analytics
TunisiePublication : 5 janv. 2026
Marketing Science - Leveraging & Benchmarking Open-Source MMM Approaches to Strengthen Marketing Mix Projects
- Stage
- 4-6 mois
- Présentiel
- Échéance : 19 janv. 2026
- Marketing Mix Modeling
- Econometrics
- Software Testing & Benchmarking
- Open-Source Tools
- Software Engineering (Python)
- Model Evaluation
Description du poste
Description: Explore how open-source MMM platforms and complementary competitive-intelligence tooling can benchmark results, stress-test assumptions, and support MASS Analytics’ algorithms and storytelling. Compare outputs across different MMM philosophies, understand divergences, and identify where MASS tools are stronger and where open-source adds value (diagnostics, uncertainty, experimentation, etc.).
Key attributes / Main competencies:
- Experience with common data science toolkits (Python, R, etc.)
- Solid understanding of econometrics concepts
- Strong Excel and Python skills
- Analytical, rigorous mindset with focus on methodological comparability
Learning outcomes:
- Map open-source MMM tools by methodology, strengths, and limitations (e.g., frequentist vs Bayesian, automation level, hierarchical models, uncertainty, calibration)
- Design a consistent benchmarking framework (same dataset/question, aligned transforms and metrics)
- Compare model behavior/outputs (contributions, ROI curves, diminishing returns, response curves, stability under collinearity, sensitivity to priors/hyperparameters)
- Build an assessment for MASS Analytics: strengths vs where open-source adds value