Data Scientist

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.  About the role:  CHANEL is now hiring a Data Scientist for our Digital Client Experience (DCX) Data team in New York City. Our ideal Data Scientist is able and experienced to lead advanced analytics and data-driven initiatives that enhance our client experiences digitally and in boutiques. This role will define and execute the data science roadmap, develop machine learning models, and establish best practices—while operating as a stand-alone contributor within the DCX Data Team. Beyond technical delivery, this role will play a pivotal part in making CHANEL US more AI-driven, piloting Generative AI projects, and driving adoption of advanced analytics across teams through effective change management. Required tech: Python, R, Machine Learning, Big Query, SQL, etc. What impact you can create at CHANEL:  - Own and execute the data science roadmap for CHANEL US, aligned with digital transformation priorities. - Design and implement advanced analytics solutions, including predictive modeling, machine learning, and AI-driven use cases. - Lead AI adoption initiatives, introducing innovative approaches and piloting Generative AI projects for business impact while protecting the brand. - Drive change management to embed advanced analytics into day-to-day workflows, helping teams embrace technology and new ways of working. - Establish data science best practices and frameworks for scalable, production-ready models. - Execute end-to-end projects: data preparation, feature engineering, model development, deployment, and monitoring. - Implement ML Ops practices for model lifecycle management and scalabil