Richemont Marketing Data Scientist
- Location
- ParisÎle-de-FranceFrance
- Employment
- Full-Time
- Seniority
- Mid-Level
- Department
- E-Commerce, Digital & Data Analytics
- Posted
- Jul 2, 2026
About Richemont
Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.
Richemont Marketing Data Scientist (Paris) — Senior analytics role combining machine learning, marketing strategy, and luxury brand insights for experienced professionals.
Role & Responsibilities
- Develop and implement advanced statistical models and machine learning algorithms to support marketing strategy and campaign optimization
- Conduct exploratory data analysis and create actionable insights on customer behavior, brand performance, and market trends
- Design and execute A/B tests and controlled experiments to validate marketing hypotheses and improve key performance indicators
- Build automated dashboards and reporting systems for real-time monitoring of marketing metrics and ROI
- Collaborate with cross-functional teams including marketing, product, and commercial departments to integrate data science capabilities into decision-making processes
- Establish data governance frameworks and best practices for analytics within the marketing function
Qualifications
- Advanced proficiency in Python and SQL for data manipulation and analysis
- Strong understanding of statistical methods, hypothesis testing, and experimental design
- Experience with machine learning frameworks and predictive modeling in a marketing context
- Proficiency with business intelligence and data visualization tools
- Proven ability to communicate complex analytical insights to non-technical stakeholders
- Familiarity with digital marketing channels, customer journey mapping, and marketing automation platforms
Skills
Experience
Minimum 5 years of professional experience in data science, marketing analytics, or quantitative roles within luxury retail, consumer goods, or related sectors. Demonstrated expertise in translating complex analytical findings into actionable marketing strategies and cross-functional recommendations.
Education
Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline.
Workplace
The successful candidate will be located in Paris, Île-de-France, France.
Culture
Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.
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.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Richemont, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Science Manager», «Analytics Specialist», «Marketing Analytics Lead», «Data Intelligence Consultant», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.