Mohamed Amine Jebari is a Lead Data Scientist based in Berlin, specializing in large-scale machine learning systems, Marketing Mix Modeling, and applied NLP. With extensive hands-on experience in Python and the scientific ecosystem, including pandas, NumPy, scikit-learn, PyMC, transformers, and Hugging Face. Amine builds end-to-end solutions that bridge rigorous statistical modeling with modern LLM-driven workflows.
Working at a data-driven consultancy, he leads a team of data scientists while remaining deeply involved in technical development, from Bayesian modeling to production-grade pipelines on AWS. Their work often focuses on solving real-world business problems with interpretable, high-impact models. Curious to uncover the truth and being a big fan of puzzles, he is now heavily working on causal inference and marketing mix models, pulling one inch at a time, closer the the truth.