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

Project overview

I am looking for a senior Data Scientist profile capable of designing and industrializing Bayesian Marketing Mix Modeling models that guide marketing investment decisions.

🎯 Your missions

Industrialize the model lifecycle (pipelines, CI/CD, versioning, drift and convergence monitoring)

🛠️ Technical Stack

🤖 Profile sought

📩 Interested? Send me your CV by private message or contact me directly for more information: [contact removed]

#MarketingMixModeling #MMM #DataScience #Bayesian #MachineLearning #MLOps #GenAI #Freelance #Recruitment

• Design, train, and evolve Bayesian MMM models by brand, market, and funnel level
• Measure incrementality and saturation of levers, calibrate priors, and build ROI and budget optimization analyses
• Extend models to mid and upper funnel and long-term effects
• Translate results into actionable recommendations for Marketing and Finance
• Intervene as needed on LLM applications (RAG, evaluation, guardrails), particularly to explain MMM results in natural language
• Meridian, PyMC / Stan
• Python (pandas, numpy, scikit-learn, statsmodels), advanced SQL
• Snowflake (Snowpark Container Services), dbt, AWS
• Airflow, MLflow, Docker, Git, CI/CD
• LLM, RAG, LLM output evaluation
• Minimum 6 years of experience in Data Science / ML, including an MMM or marketing effectiveness model put into production
• Solid mastery of Bayesian inference, econometrics, and causal inference
• Experience with budget decisions with Marketing and/or Finance teams
• Ability to explain statistical concepts to non-technical audiences
• Bonus: GenAI experience in production

Project details

• Start: flexible
• Remote: hybrid
• Location: 92000 Nanterre, France, FR
• Languages: French