Louis Vuitton Data Scientist

About Louis Vuitton

Founded in Paris in 1854, Louis Vuitton stands among the world’s most emblematic luxury maisons, renowned for exceptional craftsmanship, innovation, and the art of travel. As an employer, the Maison offers a distinctive environment where heritage and modernity meet, inviting talents to contribute to a global culture of excellence across retail, design, craftsmanship, client experience, operations, and corporate functions. Louis Vuitton values curiosity, precision, creativity, and entrepreneurial spirit, supporting employees through international opportunities, learning pathways, and a strong commitment to savoir-faire. Its teams are united by a shared ambition to craft enduring desirability and deliver exceptional experiences worldwide.

Role & Responsibilities

• Define and pilot Data & AI projects in response to business team requirements, evaluating priorities, monitoring progress, and maintaining transparent communication with all stakeholders
• Develop and articulate compelling business cases to justify project selections and establish alignment between technical and business teams
• Implement data science projects and analyses addressing Louis Vuitton product and operational challenges, focusing on supply chain and manufacturing domains
• Measure and assess the performance and ROI of machine learning models relative to existing business methodologies and establish post-implementation value benchmarks
• Deploy implemented methods and models to production in collaboration with data engineering teams
• Present findings and results to business stakeholders, providing alerts and guidance as necessary
• Train and support business teams in adopting deployed tools and building organizational capabilities in data science and AI principles
• Iteratively enhance models and tools based on user feedback and evolving business requirements

Qualifications

• Master's degree (Bac+5) in Engineering or equivalent university discipline
• Minimum 5 years' professional experience in data science, preferably with focus on supply chain or manufacturing applications
• Advanced expertise in statistical techniques, descriptive and predictive modeling, and machine learning algorithms
• Demonstrated proficiency in analyzing large-scale, complex datasets within distributed computing environments
• Strong hands-on experience developing data science solutions on Google Cloud Platform (GCP)
• Proficiency with data visualization platforms such as Power BI, Tableau, or Qlik
• Advanced competency with Dataiku data science platform
• Fluent English proficiency, both written and oral
• Outstanding interpersonal and collaborative capabilities

Skills

Experience

Minimum 5 years of professional experience in data science, with preferred background in supply chain optimization or manufacturing analytics. Candidate should demonstrate a track record of successfully delivering data science solutions in enterprise environments and translating complex analytical findings into actionable business strategy.

Education

Master's degree (Bac+5) from an engineering school or accredited university program in a quantitative discipline such as mathematics, computer science, statistics, or data science.

Workplace

Culture

Louis Vuitton fosters a culture rooted in heritage, craftsmanship, and a relentless pursuit of excellence, where employees contribute to one of the world’s most iconic luxury maisons. Its workplace environment combines creativity, precision, and international collaboration, offering teams the opportunity to grow within a brand that values innovation, client experience, and long-term savoir-faire.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.