About Pauline
Data Scientist / Analytics Engineer – Product & ML at scale
Senior Data Scientist & Analytics Engineer, graduate of École Nationale des Ponts et Chaussées (Data Science track), with 8+ years of experience building and scaling data and ML systems in demanding tech environments (Deezer, Leboncoin / Adevinta).
I help product teams turn data into reliable insights and production-grade ML features, from analytics foundations to large-scale recommendation and personalization systems.
Expertise
- Machine Learning: recommendation systems, ranking, personalization, deep learning, scoring, (PyTorch, TensorFlow, Scikit-learn), LLMs / GenAI
- Analytics Engineering: SQL-first data modeling, analytics pipelines, data quality & metrics
- Production & MLOps: CI/CD, monitoring, scalability, low-latency systems
I previously worked as an Engineering Manager on data & ML-heavy products, which allows me to deliver autonomously, communicate clearly with stakeholders, and design solutions that actually ship and scale.
Typical missions
- Senior Data Scientist (product, ML, recommender systems)
- Analytics Engineer (data modeling, decision support)
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 10km)
Experience
- leboncoinEngineering ManagerE-COMMERCESeptember 2023 - December 2025 (2 years and 3 months)Paris, France
Machine Learning & Recommender Systems – Homepage
- Mentored and supported a cross-functional team of 9 people (Data Scientists, ML Engineers, Backend/Frontend Developers, QA, contigent workers), contributing to stronger engagement and overall team performance
- Co-designed and launched a ML-powered personalized homepage (ad recommendations and dynamic ranking) with the Product Owner, resulting in a 10% increase in leads
- Led multiple large-scale technical initiatives, including: deployment of a vector database (Milvus) for real-time similar ad recommendations, infrastructure migration of the visual search feature covering 80M items, under strict production constraints, scaling of the recommendation system from leboncoin to Kleinanzeigen, expanding reach by 35M users, and delivery of a new homepage vision, enabling users to resume activity and discover relevant content
- leboncoinSenior Data ScientistE-COMMERCEDecember 2019 - August 2023 (3 years and 8 months)Paris, France
Machine Learning & Recommender Systems – Homepage
- Developed and deployed a homepage recommendation system, serving 15M+ monthly users, using deep learning models for item suggestions across text, image, and tabular data
- Built deep learning models for seller recommendations, using collaborative filtering
- Implemented MLOps practices with Kubeflow pipelines for automated training and inference
- Stack: Python, TensorFlow, Kubeflow, Milvus, Kubernetes, Docker, Poetry, Spark, AWS
- DeezerData ScientistE-COMMERCESeptember 2017 - November 2019 (2 years and 2 months)Paris, France
Machine Learning – BI & Data Science Team
Developed machine learning modelsfor churn prediction, user clustering, and survival analysisOptimized BI processes and automated KPI calculationsWorked closely with Product, Marketing, and Business teams to translate business needs into actionable data-driven solutions and support strategic decision-making.Stack: Python, Scikit-learn, Spark (Scala)
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Education
- MasterÉcole Polytechnique2017Master in Data Science and Machine Learning • Key coursework: Machine Learning, Statistical Learning Theory, Optimization for Data Science, Kernel Methods, Database Management, Deep Learning, Machine Learning for Text and Graph • Developed strong programming skills in Python
- MSc inEngineering–MajorÉcole Nationale des Ponts et Chaussées2017Major in Industrial Engineering and Operations Research • Key coursework: Applied Mathematics, Statistics and Data Analysis, Corporate Finance, Design Thinking, Marketing, Supply Chain Management