Senior Data Scientist, Personalization

Sephora • San Francisco, CA

72d

About The Position

As a Senior Data Scientist - Personalization Data Science at Sephora, you'll be responsible for developing and implementing ML and AI-based models to enhance client personalization decisioning, business use case automation, and optimization. You will work on orchestrating decisioning systems and generating key insights to support company-wide business priorities. Reporting to the Director of Personalization Data Science, you'll collaborate with a specialized team of data scientists and engineers to tackle novel and ambiguous problems with innovative solutions.

Requirements

• 5-7+ years of proven experience building and deploying machine learning models in production environments
• 5+ years experience with Databricks, Spark (or PySpark), and working with big data (preferred)
• 7+ years strong proficiency in Python and familiarity with data science libraries (Pandas, Scikit-learn, PyTorch/TensorFlow)
• 4+ years hands-on experience with Generative AI models, LLMs, or related deep learning architectures

Responsibilities

• Design, develop, and deploy intelligent AI systems for sophisticated content curation and business needs
• Integrate complex business goals (e.g., color consistency, freshness, placement frequency) into recommendation and placement awareness models
• Collaborate with business teams to translate strategic objectives into actionable data science solutions
• Lead research, development, and integration of Large Language Models (LLMs) into core systems
• Partner with broader Gen AI initiatives to ensure consistency in consumer experience across platforms
• Develop foundational code aligned with company-wide AI standards that can be easily adapted
• Build and optimize MLOps pipelines to efficiently deploy trained models to various platforms
• Create reusable infrastructure and tools that enable engineering teams to handle the final stages of placement unlock process
• Reduce technical debt and improve iteration speed by enhancing the model-to-placement pipeline

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Health and Personal Care Retailers
• Number of Employees: 5,001-10,000 employees