Senior Data Scientist
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- 0 Referenzen
- auf Anfrage
- 1120 Bruxelles
- Europa
- fr | en
- 03.09.2026
- Contract ready
Kurzvorstellung
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
4/2023 – 12/2025
Tätigkeitsbeschreibung
Within the Data & AI Team, my role is to suggest, design, and develop with the support of other data scientists end-toend machine learning and advanced analytics solutions to increase revenue or reduce cost.
Project 1: Migration and Production Deployment of ML Products to Databricks
Project 2: AI Agent To Perform Sentiment Analysis On Customer Reviews
Project 3: Predictive Model for Customer Retention
Project 4: Mentorship of Data Science Intern
Data Science, Databricks, DevOps, Machine Learning, MLOps, Python
1/2020 – 4/2023
Tätigkeitsbeschreibung
Within the Pricing Team, I was hired to work on developing a new revenue manageWithin the Pricing Team, I was hired to work on developing a new revenue management tool. For this purpose I worked on multiple projects.
Project 1: Development of a Multi-Country Pricing Model for New Customers
Project 2: Implementation of a Rate Increase Model for Existing Customers
Project 3: Revenue Prediction and Unit Mix Optimization for Warehouses
Project 4: Business Insights and Data-Driven Decision Support
Data Science, Machine Learning, Python, SQL
1/2019 – 12/2019
TätigkeitsbeschreibungWithin the Marketing Department of Carrefour Finance, I was responsible for generating actionable insights using analytics techniques and machine learning
Eingesetzte QualifikationenSAS-Programmierer, SQL, VBA (Visual Basic for Applications)
Ausbildung
Paris Dauphine & Pantheon Assas University
Paris
Über mich
Expert in Python, PySpark, SQL, SAS, and R, with strong hands-on experience in Azure Databricks for large-scale data processing and Azure DevOps for agile delivery, CI/CD, and version control.
Currently specializing in Generative and Agentic AI Engineering, building production-grade LLM systems including RAG pipelines, tool-augmented agents, and multi-agent workflows, using technologies such as Hugging Face, LangChain, LangGraph, AutoGen, and Semantic Kernel to solve real business problems and create tangible value.
Focused on taking AI solutions from concept to production, with an emphasis on robustness, evaluation, and observability, while aligning architectures with enterprise requirements around security, scalability, and cost efficiency.
Persönliche Daten
- Französisch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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