Senior Data Scientist / ML Engineer – Marketing Mix Modeling (MMM) & GenAI

Project overview

Detailed description of the need

As part of strengthening a Data Science & AI team, we are looking for a Senior Data Scientist / ML Engineer with solid expertise in Marketing Mix Modeling (MMM) and the industrialization of Machine Learning models.

You will work on strategic projects aimed at optimizing marketing investments, measuring the effectiveness of acquisition levers, and supporting budget decisions through advanced statistical models.

The main challenge will be to evolve and industrialize internally developed MMM models, while ensuring their robustness, usability, and adoption by business teams.

Depending on needs, you may also contribute to generative AI projects (LLM, RAG).

Your main responsibilities

• Marketing Mix Modeling (MMM)
• Design, develop, and optimize Bayesian MMM models using Meridian or equivalent frameworks.
• Analyze the contribution of different marketing levers and measure their incrementality.
• Model saturation effects, long-term impacts, and interactions between channels.
• Perform ROI analyses and budget optimization simulations.
• Strengthen model reliability through advanced statistical and causal approaches.
• Industrialization and MLOps
• Automate model training, validation, and deployment pipelines.
• Implement MLOps best practices: CI/CD, versioning, monitoring, and traceability.
• Ensure data quality, reproducibility, and robustness of results.
• Deploy and maintain reliable and scalable ML solutions in production.
• Business Analysis and Support
• Translate model results into concrete recommendations for investment optimization.
• Develop contribution, performance, and budget scenario analyses.
• Collaborate with Marketing, Finance, Product, and Data Engineering teams.
• Facilitate the adoption of models and simulation tools by users.
• Contribution to GenAI projects (as needed)
• Participate in the design and development of LLM-based applications.
• Contribute to RAG architectures and LLM API integration.
• Implement evaluation, quality control, and security mechanisms.
• Explore generative AI use cases to facilitate the analysis and interpretation of MMM results.

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Languages: French