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职位Chanel

Senior Data Scientist (H/F)

Chanel

Senior Data Scientist (H/F)

Chanel

Paris

·

On-site

·

Full-time

·

3w ago

必备技能

Machine Learning

At Chanel, the digital transformation of our business model is accelerating, especially within our Europe Regional Digital teams. As Senior Data Scientist, you will play a pivotal cross-domain role within the Analytics & AI Team, driving advanced analytics, predictive modeling, and AI/GenAI use cases across all our data domains.

Reporting to the Analytic Manager, you will lead Data Scientists across domains and collaborate closely with the AI Product Managers, ML/LLMOps engineers, and the BI and Ad Hoc Analysis squads.

Together, you will ensure a unified, scalable, and innovation-driven approach to data science across the region. Operating within an agile framework, you will oversee the end-to-end lifecycle of AI/GenAI products—from opportunity framing to industrialization and continuous performance monitoring.

WHAT IMPACT YOU CREATE AT CHANEL

Strategic AI & GenAI Leadership

  • Lead and mentor Data Scientists in an agile (Scrum-like) environment.

  • Foster a culture of experimentation, scientific rigor, and technical excellence.

  • Promote responsible AI practices, model governance, and ethical AI frameworks.

  • Ensure knowledge sharing, team upskilling, and quality of deliverables, both scientific rigor and technical standards.

  • Continuously explore and integrate emerging AI and GenAI technologies

End to end AI/Gen

AI Modeling Ownership:

  • Contribute to the AI roadmap aligned with business priorities

  • Design, build, fine-tune, and deploy machine learning and Generative AI models (LLMs, RAG systems, personalization engines, recommendation systems, forecasting models, etc.)

  • Ensure scalable deployment through robust MLOps and LLMOps practices (CI/CD pipelines, APIs, monitoring frameworks)

  • Implement strong evaluation methodologies, experimentation frameworks, and performance tracking

  • Stay ahead of industry trends in AI, machine learning, and GenAI methodologies

Collaboration & Business Partnership

  • Partner closely with Data Scientists and ML/LLMOps engineers to ensure production-ready, scalable AI solutions

  • Collaborate with other analytics teams to ensure complementarity between descriptive, predictive, and generative use cases

  • Build strong, trust-based relationships with divisions and markets, acting as a strategic advisor on Artificial Intelligence

  • Communicate AI/GenAI complex concepts clearly to stakeholders and non-technical audiences

YOU ARE ENERGISED BY

  • Leading multidisciplinary teams at the intersection of data science and AI innovation

  • Solving complex business challenges using machine learning and LLM-based systems

  • Seeing AI solutions deployed responsibly and delivering measurable impact

  • Exploring AI/GenAI innovation in luxury retail, clienteling, personalization, and digital transformation

WHAT YOU WILL BRING

  • Advanced degree (Master’s or PhD) in a quantitative field such as statistics, mathematics, computer science, physics, or related discipline

  • At least 8 years of experience as a Data Scientist, with strong expertise in modeling, advanced analytics, and machine learning roles

  • Strong proficiency in **Python,**with extensive experience with machine learning libraries and frameworks (e.g. Scikit-learn, Py Torch)

  • Experience building production-grade APIs (e.g. FastAPI)

  • Strong understanding of CI/CD pipelines and production deployment workflows

  • Familiarity with cloud environments (e.g., Azure, AWS, GCP)

  • Proven ability to manage end-to-end AI solutions, from problem framing and data collection to modeling, deployment, and performance monitoring

  • Hands-on experience with Generative AI and LLM-based systems (prompt engineering, fine-tuning, RAG architectures, embeddings, evaluation frameworks)

  • Solid knowledge of model governance, monitoring, explainability, and risk mitigation

  • Excellent communication skills, with the ability to translate complex technical findings into clear, actionable insights for non-technical teams

  • A keen sensitivity to client experience, ideally within retail/luxury or omni-channel environments

  • Excellent communication skills in French and English

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.

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关于Chanel

Chanel

Chanel

Public

French luxury fashion house known for haute couture, ready-to-wear clothing, handbags, perfumes, and cosmetics. Founded by Gabrielle 'Coco' Chanel, the company is recognized for timeless designs including the Chanel suit and Chanel No. 5 perfume.

10,001+

员工数

Paris

总部位置

$15B

企业估值

评价

3.9

10条评价

工作生活平衡

2.8

薪酬

3.2

企业文化

3.6

职业发展

3.4

管理层

3.7

72%

推荐给朋友

优点

Creative environment and freedom

Supportive management and leadership

Strong brand reputation and prestige

缺点

High pressure and expectations

Work-life balance challenges

Long hours during peak seasons

薪资范围

60个数据点

Mid/L4

Staff/L6

Mid/L4 · Senior Manager, Analytics

2份报告

$188,275

年薪总额

基本工资

$144,827

股票

-

奖金

-

$188,275

$188,275

面试经验

2次面试

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 50%

中性 0%

负面 50%

面试流程

1

First Interview

2

Second Interview

3

Design Task

4

Week-long Trial