Overview Senior Data Scientist – Personalization at Sephora. Location: San Francisco, CA (Hybrid: in-office 3 days/week). Job type: Full Time, Regular. Role reports to the Director of Personalization Data Science. The role focuses on developing and implementing ML and AI-based models to enhance client personalization decisioning, automate business use cases, and optimize outcomes. You will collaborate with a team of data scientists and engineers to tackle novel problems and deliver innovative solutions. Responsibilities AI Agentic Smart Orchestration (35%): Design, develop, and deploy intelligent AI systems for content curation and meeting business needs; integrate complex 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. AI-Forward Model Development (35%): Lead research, development, and integration of Large Language Models (LLMs) into core systems; partner with broader Gen AI initiatives to ensure a consistent consumer experience across platforms; develop foundational code aligned with company-wide AI standards that can be easily adapted. Streamline Tech Stack (30%): Build and optimize MLOps pipelines to deploy trained models to various platforms; create reusable infrastructure and tools to support the final stages of placement unlock; reduce technical debt and improve iteration speed in the model-to-placement pipeline. Qualifications 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 Competencies And Skills Deep Learning Frameworks: Proficiency with PyTorch, TensorFlow, or JAX, and SQL Model Deployment (MLOps): Skills in deploying and serving large-scale models, including monitoring and scaling Understanding of Generative Architectures: Transformers, diffusion models, and related generative AI architectures Data Preprocessing for LLMs: Cleaning and preparing large unstructured datasets for training and fine-tuning generative models Strong Communication Skills: Ability to effectively communicate with various stakeholders Compensation And Benefits Annual base salary range: $142,545.00 – $159,315.00. The actual offer depends on qualifications, experience, skills, education, certifications, and location. Eligible for bonuses. Sephora offers a comprehensive benefits package for full-time employees, including health, dental, vision, 401(k), paid time off, employee discount, life and disability insurance, FSA, and referral bonuses. This job posting will be live for a minimum of 5 days. About Sephora Sephora is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military status, or disability. Sephora provides reasonable accommodations where needed and considers qualified applicants with criminal histories in a manner consistent with applicable law.

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