Senior Data Scientist, Personalization
New Yesterday
At Sephora we inspire our customers, empower our teams, and help them become the best versions of themselves. We create an environment where people are valued, and differences are celebrated. Every day, our teams across the world bring to life our purpose: to expand the way the world sees beauty by empowering the Extra Ordinary in each of us.
The Opportunity: As a Senior Data Scientist – Personalization Data Science, 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.
Responsibilities: Design, develop, and deploy intelligent AI systems for sophisticated content curation and business needs
Integrate complex business goals 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
Requirements: 5-7+ years of proven experience building and deploying machine learning models in production environments
5+ years experience with Databricks, Spark, and working with big data
7+ years strong proficiency in Python and familiarity with data science libraries
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
Understanding of Generative Architectures: Solid grasp of underlying principles of models like Transformers, diffusion models
Data Preprocessing for LLMs: Knowledge of preparing and cleaning large, unstructured text or image datasets
Strong Communication Skills: Ability to effectively communicate information and ideas to various stakeholders
The annual base salary range for this position is $142,545.00- $159,315.00. Sephora offers a generous benefits package to full-time employees, including comprehensive health, dental and vision plans, and a superior 401(k) plan.
Benefits: The people: You will be surrounded by some of the most talented leaders and teams.
The learning: We invest in training and developing our teams.
The culture: As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global.
Sephora is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status.
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- Location:
- San Francisco, CA, United States
- Salary:
- $250,000 +
- Job Type:
- FullTime
- Category:
- IT & Technology