Chanel Data Scientist
Chanel — Data Scientist in New York. Lead machine‑learning projects across retail and e‑commerce to drive personalization and demand forecasting.
Overview
Chanel is an independent French luxury house renowned for couture, ready-to-wear, accessories and beauty. The maison combines a heritage-driven dedication to craftsmanship with strategic investment in digital capabilities; as a private luxury group, Chanel operates global retail, marketing and product teams that seek to preserve brand integrity while accelerating data-led innovation.
Role & Responsibilities
- Design, develop and validate predictive models and machine-learning solutions to support business objectives across retail, e‑commerce, CRM and inventory planning.
- Translate commercial questions into analytical specifications and deliver robust, production-ready algorithms for personalization, demand forecasting, pricing optimization and customer segmentation.
- Collaborate with product managers, digital, merchandising and retail operations to embed analytics into decision workflows and measure business impact.
- Build and maintain reproducible data pipelines, feature stores and model deployment artefacts in concert with engineering teams.
- Conduct exploratory data analysis and present actionable insights and clear visualisations to senior stakeholders and cross-functional partners.
- Ensure data quality, model governance and compliance with internal standards and privacy regulations.
Qualifications
- Degree in Statistics, Mathematics, Computer Science, Engineering or related quantitative discipline; advanced degree (MSc/PhD) preferred.
- Demonstrable experience designing, deploying and monitoring machine‑learning models in a commercial environment.
- Proven ability to translate complex analytical results into concise business recommendations for non‑technical stakeholders.
- Strong software engineering discipline: version control, testing, reproducibility and documentation.
- Prior exposure to retail, luxury goods, e‑commerce or CRM analytics is highly desirable.
Skills
Experience
Typically 3+ years of professional experience in data science, machine learning or advanced analytics, ideally with demonstrable impact in retail, e‑commerce or CRM environments.
Education
Bachelor's degree in a quantitative discipline required; Master's or PhD preferred.
Workplace
The successful candidate will be located in New York, New York, USA. 1.574 luxury roles are listed in New York on Cerulean, 28 posted in the last 48 hours. Across the New York region, Cerulean lists 1.706 open positions — 37 listed in the past two days. Cerulean currently advertises 3.587 open roles in USA, including 170 added in the last 48 hours.
Culture
Chanel combines an exacting respect for heritage craftsmanship with contemporary digital ambition. Teams operate in a highly collaborative, detail-oriented environment where creative excellence and commercial rigour are both prized.
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 Chanel, 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 «Applied Data Scientist», «Machine Learning Scientist», «Data Science Analyst», «Customer Analytics Scientist», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.