Chanel Modeling Jobs (NOW HIRING)

Data Scientist

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness ofeach individualincreases the diversity,complementarity,and effectiveness of our teams. We strongly encourage your application, as we value the perspective,experienceand potential you could bring to CHANEL.

About the role:

CHANEL is now hiring aData Scientistfor our Digital ClientExperience(DCX)Datateam in New YorkCity.Our idealData Scientistisableand experienced tolead advanced analytics and data-driven initiatives that enhance our client experiences digitally and in boutiques. This role will define and execute the data science roadmap, develop machine learning models, andestablishbest practices-whileoperatingas a stand-alone contributor within the DCX Data Team.

Beyond technical delivery, this role will play a pivotal part in making CHANEL US more AI-driven, piloting Generative AI projects, and driving adoption of advanced analytics across teams through effective change management.

Required tech:Python, R,Machine Learning, Big Query, SQL, etc.

Whatimpactyou can create at CHANEL:

• Own and execute the data science roadmap for CHANEL US, aligned with digital transformation priorities.

• Design and implement advanced analytics solutions, including predictive modeling, machine learning, and AI-driven use cases.

• Lead AI adoption initiatives, introducing innovative approaches and piloting Generative AI projects for business impact while protecting the brand.

• Drive change management to embed advanced analytics into day-to-day workflows, helping teams embrace technology and new ways of working.

• Establish data science best practices and frameworks for scalable, production-ready models.

• Execute end-to-end projects: data preparation, feature engineering, model development, deployment, and monitoring.

• Implement MLOps practices for model lifecycle management and scalability.

• Develop data pipelines and automation workflows, including API integrations for system connectivity.

• Collaborate cross-functionally with Business teams, legal, Tech, and external partners to integrate solutions into production workflows.

• Manage stakeholders effectively, ensuring alignment and buy-in across Fragrance & Beauty,Fashion,Watches & Fine Jewelry (WFJ) divisions.

• Communicate complex concepts simply, delivering clear narratives and actionable recommendations to senior leadership.

• Promote data storytelling and experimentation (e.g., A/B testing) tovalidateimpact and foster a culture of innovation.

You are energized by:

• Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity

• Data-driven decision making for products and services

• Excellent project management and communication skills

• Connecting the dots on pain points, bring a key eye for details and expert problemperceptionwith solutions mindset

• Ability to translate technical jargon into simple business terms

• Working in a highly collaborative environment

• Building strong partnerships across business and technology teams in a global organization

• Championing change and fostering a culture of accountability and innovation

What you will bring to the team:

• Experience with personalization,recommendation ofengines,andsegmentation

• API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus

• Familiarity withSalesforceCRM systems and digital transformation programs

• Luxury retail or client-centric industries favorable but notrequired

Required Skills & Qualifications

• Minimum of 7years of experience in data science roles with proven ability to deliver projects independently

• Expert-level coding skills inPython or R, with strong experience in developing and deploying machine learning models

• SQLproficiencyis mandatory for data manipulation and querying large datasets

• Hands-on experience withGoogleBig Queryas a core analytics platform

• Familiarity with Generative AI frameworks and emerging AI technologies

• Experience withMLOpstoolsand version control (e.g., Git)

• Strong business acumen and ability to influence organizational change

• Exceptional communication and stakeholder management skills, including the ability to simplify complexity for senior leaders

Position Logistics:

• Hybrid work -required3 days onsite at CHANEL offices inNew YorkCity

• Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently

• Bachelor's orMaster's degree in Data Scienceorequivalent