Senior Data Scientist, Personalization

LVMH GroupSan Francisco, CA, United States

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J ob ID : 274432

Location Name : CA-FSC SF Off (0174)

Address : 350 Mission St, 20th Floor, San Francisco, CA 94105, United States (US)

Job Type : Full Time

Position Type : Regular

Job Function : Marketing

Remote Eligible : Hybrid Schedule

Company Overview :

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.We are united by a common goal - to reimagine the future of beauty .

The Opportunity :

Your role at Sephora...

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 :

AI Agentic Smart Orchestration (35%)
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
Streamline Tech Stack (30%)
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

We're excited about you if you have :

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 knowledge of tools for model inference, monitoring, and scaling

Understanding of Generative Architectures : Solid grasp of underlying principles of models like Transformers, diffusion models, and other architectures used in generative AI

Data Preprocessing for LLMs : Knowledge of preparing and cleaning large, unstructured text or image datasets for training and fine-tuning generative models

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 The actual base salary offered depends on a variety of factors, which may include, as applicable, the applicant’s qualifications for the position; years of relevant experience; specific and unique skills; level of education attained; certifications or other professional licenses held; other legitimate, non-discriminatory business factors specific to the position; and the geographic location in which the applicant lives and / or from which they will perform the job. Individuals employed in this position may also be eligible to earn bonuses. Sephora offers a generous benefits package to full-time employees, which includes comprehensive health, dental and vision plans; a superior 401(k) plan, various paid time off programs; employee discount / perks; life insurance; disability insurance; flexible spending accounts; and an employee referral bonus program.

While at Sephora, you’ll enjoy…

The people. You will be surrounded by some of the most talented leaders and teams – people you can be proud to work with.

The learning . We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans.

The culture . As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000+ stores, are united by a common goal - to reimagine the future of beauty.

You can unleash your creativity , because we’ve got disruptive spirit. You can learn and evolve , because we empower you to be your best. You can be yourself , because you are what sets us apart. This , is the future of beauty. Reimagine your future, at Sephora.

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. Sephora is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Sephora will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

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Senior Data Scientist • San Francisco, CA, United States