Data Scientist (39891)

I'm seeking a Data Scientist who wants to own the full data science lifecycle – from business problem framing, data extraction in Teradata Vantage, and model development in Python, to communicating results and deploying models into production. You will work in a collaborative environment with data engineers, analysts, and domain experts, ensuring that your models create measurable business value. You will also have the opportunity to contribute to the broader data science strategy and influence the long-term data roadmap. Knowledge of feature stores, generative AI, or cloud platforms is a big plus. If you are ready to take your data science skills to a strategic and impactful level, let’s connect.

🚀 Project
- designing and implementing end-to-end data science solutions to solve business problems and create value
- extracting, cleaning, and analyzing large volumes of data, particularly using Teradata Vantage and SQL
- building and deploying machine learning models using Python
- leveraging feature stores for model development and productionization
- exploring and applying generative AI techniques (LLMs, transformers) where relevant to business use cases
- defining data science strategies aligned with business goals and long-term data roadmaps
- communicating results, methodologies, and recommendations to both technical and non-technical stakeholders
- preparing and delivering clear presentations adapted to various audiences (executive, operational, technical)
- collaborating with data engineers, analysts, and domain experts to integrate solutions into production
- contributing to the continuous improvement of data science tools, processes, and best practices

🎯 Skills
- 2+ years of professional experience in data science or applied machine learning
- expertise in SQL and working with large datasets, ideally in Teradata Vantage
- advanced proficiency in Python, including common data science libraries (Pandas, Scikit-learn, NumPy, etc.)
- experience using feature stores (Feast, Vertex AI Feature Store, Databricks Feature Store)
- exposure to generative AI models and frameworks (OpenAI, Hugging Face, LangChain)
- experience in defining and communicating data science strategies

💡 Nice to have
- experience with cloud platforms (AWS, Azure, GCP)
- knowledge of MLOps, CI/CD for ML, Docker, APIs
- familiarity with data visualization tools (Power BI, Tableau)
- French speaker