Data Scientist

CHANEL • New York, NY

5d • $87,500 - $190,000 • Hybrid

About The Position

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. About the role: CHANEL is now hiring a Data Scientist for our Digital Client Experience (DCX) Data team in New York City. Our ideal Data Scientist is able and experienced to lead 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, and establish best practices—while operating as 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. What impact you 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 ML Ops 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) to validate impact 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 problem perception with 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 of engines, and segmentation API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus Familiarity with Salesforce CRM systems and digital transformation programs Luxury retail or client-centric industries favorable but not required

Requirements

• Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
• Expert-level coding skills in Python or R, with strong experience in developing and deploying machine learning models
• SQL proficiency is mandatory for data manipulation and querying large datasets
• Hands-on experience with Google Big Query as a core analytics platform
• Familiarity with Generative AI frameworks and emerging AI technologies
• Experience with MLOps tools and 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
• Bachelor’s or Master’s degree in Data Science or equivalent

Nice To Haves

• Experience with personalization, recommendation of engines, and segmentation
• API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus
• Familiarity with Salesforce CRM systems and digital transformation programs
• Luxury retail or client-centric industries favorable but not required

Responsibilities

• 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 ML Ops 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) to validate impact and foster a culture of innovation.

Benefits

• Wellbeing resources include dedicated paid time off for wellbeing (2-week August Office Closure) and a Wellbeing fund
• Family and care giving benefits (inclusive of parental leave, fertility support, MilkStork, and Care.com Membership)
• Generous paid time off policies to include vacation, holiday, sick and volunteer days
• 401K and other incentives
• Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts (Health Care & Dependent Care), Health Savings Account and Employee Assistance Program
• Life insurance, Accidental Death & Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident & Medical, and Commuter Transit & Parking

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees