Senior Data Scientist (H/F)

At Chanel, the digital transformation of our business model is accelerating, especially within our Europe Regional Digital teams. As Senior Data Scientist, you will play a pivotal cross-domain role within the Analytics & AI Team, driving advanced analytics, predictive modeling, and AI/GenAI use cases across all our data domains. 

Reporting to the Analytic Manager, you will lead Data Scientists across domains and collaborate closely with the AI Product Managers, ML/LLMOps engineers, and the BI and Ad Hoc Analysis squads. 

Together, you will ensure a unified, scalable, and innovation-driven approach to data science across the region. Operating within an agile framework, you will oversee the end-to-end lifecycle of AI/GenAI products—from opportunity framing to industrialization and continuous performance monitoring. 

WHAT IMPACT YOU CREATE AT CHANEL 

Strategic AI & GenAI Leadership 

• Lead and mentor Data Scientists in an agile (Scrum-like) environment. 

• Foster a culture of experimentation, scientific rigor, and technical excellence. 

• Promote responsible AI practices, model governance, and ethical AI frameworks. 

• Ensure knowledge sharing, team upskilling, and quality of deliverables, both scientific rigor and technical standards. 

• Continuously explore and integrate emerging AI and GenAI technologies 

 End to end AI/GenAI Modeling Ownership 

• Contribute to the AI roadmap aligned with business priorities 

• Design, build, fine-tune, and deploy machine learning and Generative AI models (LLMs, RAG systems, personalization engines, recommendation systems, forecasting models, etc.) 

• Ensure scalable deployment through robust MLOps and LLMOps practices (CI/CD pipelines, APIs, monitoring frameworks) 

• Implement strong evaluation methodologies, experimentation frameworks, and performance tracking 

• Stay ahead of industry trends in AI, machine learning, and GenAI methodologies

Collaboration & Business Partnership 

• Partner closely with Data Scientists and ML/LLMOps engineers to ensure production-ready, scalable AI solutions 

• Collaborate with other analytics teams to ensure complementarity between descriptive, predictive, and generative use cases 

• Build strong, trust-based relationships with divisions and markets, acting as a strategic advisor on Artificial Intelligence  

• Communicate AI/GenAI complex concepts clearly to stakeholders and non-technical audiences 

YOU ARE ENERGISED BY 

• Leading multidisciplinary teams at the intersection of data science and AI innovation 

• Solving complex business challenges using machine learning and LLM-based systems  

• Seeing AI solutions deployed responsibly and delivering measurable impact  

• Exploring AI/GenAI innovation in luxury retail, clienteling, personalization, and digital transformation 

WHAT YOU WILL BRING 

• Advanced degree (Master’s or PhD) in a quantitative field such as statistics, mathematics, computer science, physics, or related discipline 

• At least 8 years of experience as a Data Scientist, with strong expertise in modeling, advanced analytics, and machine learning roles 

• Strong proficiency in Python, with extensive experience with machine learning libraries and frameworks (e.g. Scikit-learn, PyTorch) 

• Experience building production-grade APIs (e.g. FastAPI) 

• Strong understanding of CI/CD pipelines and production deployment workflows 

• Familiarity with cloud environments (e.g., Azure, AWS, GCP)  

• Proven ability to manage end-to-end AI solutions, from problem framing and data collection to modeling, deployment, and performance monitoring 

• Hands-on experience with Generative AI and LLM-based systems (prompt engineering, fine-tuning, RAG