Chanel Senior Data Scientist

Chanel is an independent haute couture and luxury goods house renowned for its craftsmanship, aesthetic rigor and cultural influence across fashion, accessories, fragrance and beauty. As an employer, Chanel balances deep respect for artisanal heritage with ongoing investment in digital transformation and data-driven decision making, attracting talent who combine creativity with technical excellence.

1. Lead end-to-end data science projects that deliver actionable insights across CRM, merchandising, demand forecasting, inventory and product analytics.
2. Design, develop and validate machine learning models and statistical analyses; take models from proof-of-concept through production deployment and maintenance.
3. Collaborate with cross-functional stakeholders (marketing, retail, merchandising, e‑commerce, IT) to translate business problems into analytic strategies and measurable KPIs.
4. Establish robust model governance, reproducibility and monitoring practices; ensure compliance with data privacy and regulatory requirements (e.g., GDPR).
5. Mentor and upskill junior data scientists and analysts; contribute to hiring, code reviews and best-practice documentation.
6. Communicate complex technical findings clearly to senior stakeholders and influence strategic decisions with quantitative evidence.

1. Advanced degree (MSc or PhD) in Computer Science, Statistics, Mathematics, Engineering, Data Science or a related quantitative discipline.
2. Minimum of 5 years’ professional experience in applied data science or machine learning, with demonstrable impact on business metrics; experience in retail, fashion or luxury segments preferred.
3. Proven track record of taking ML models to production and operating them at scale.
4. Strong stakeholder management, project leadership and ability to translate business needs into technical deliverables.
5. Fluent written and verbal communication skills suitable for presenting to executive audiences.

1. Python
2. SQL
3. scikit-learn
4. TensorFlow
5. PyTorch
6. Apache Spark
7. Docker
8. Kubernetes
9. Airflow
10. AWS
11. GCP
12. A/B testing
13. Time series forecasting
14. Statistical modeling

At least 5 years of applied data science experience with end-to-end ownership of machine learning projects; prior exposure to retail, merchandising, CRM or demand forecasting is strongly preferred, including production deployment and cross-functional collaboration.

Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Data Science or a closely related quantitative field.

Chanel combines a reverence for artisanal excellence with a progressive approach to technology and digital innovation. The workplace emphasizes discretion, high standards, collaboration across creative and technical teams, and a commitment to nurturing talent at the intersection of heritage and modernity.