Job ID: 272121

Location Name: CA-FSC SF Off (0174)

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

Job Type

Position Type: Regular

Job Function: Information Technology

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

Technology

Our technology team works fast and smart. With San Francisco as our home, we take bringing new tech to market seriously, developing the latest in mobile technologies, scalable architecture, and the coolest in-store client experience. We love what we do, and we have fun doing it. The Technology group is comprised of motivated self-starters and true team players that are absolutely integral to the growth of Sephora and our future success.

Your role at Sephora

As a Data Scientist, you will lead the development of ML systems, drive innovation through cutting-edge AI solutions, and collaborate with cross-functional teams to deliver actionable insights. This individual will apply expertise in Generative AI to a variety of use cases, driving customer and employee experience. This role presents an exciting opportunity to shape our data-driven strategies and contribute to developing state-of-the-art solutions.

Responsibilities

Conduct exploratory data analysis, data preprocessing, and feature engineering to ensure high-quality input for modeling.
Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business challenges.
Utilize your strong understanding of Recommendation Systems to design personalized user experiences, drive engagement, and optimize content delivery.
Stay at the forefront of AI research, experimenting with emerging techniques and staying informed about the latest advancements in the fie
Communicate findings, insights, and technical concepts to both technical and non-technical audiences through clear visualizations and presentations
Contribute to developing and maintaining robust machine learning best practices within the organization
Develop models contributing to synthetic data generation and data augmentation efforts.

We're Excited About You If You Have

Experience in data science and machine learning, demonstrating expertise in areas such as Generative AI, Recommendation Systems, and Computer Vision
Proficiency in programming languages such as Python, and hands-on experience with machine learning libraries and frameworks.
Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and hands-on experience in implementing complex AI models.
Proven track record of building Recommendation Systems and expertise in designing and evaluating personalized content delivery strategies.
Experience with Computer Vision tasks, such as image classification, object detection, image segmentation, and familiarity with related libraries.
Experience working with cloud computing platforms (AWS, Azure, GCP) and distributed computing is a plus.
Machine Learning for Recommendations – Experience with collaborative filtering, content-based filtering, ranking models, and hybrid approaches.
Feature Engineering – Ability to extract, transform, and create features from structured and unstructured data.
Model Development & Evaluation – Proficiency in designing, training, and evaluating ML models using metrics relevant to recommendations (e.g., MAP, NDCG, CTR, CVR).
Python & ML Libraries – Strong skills in Python and libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow.
Data Processing at Scale – Experience with PySpark or distributed computing frameworks for handling large datasets.
SQL & Data Querying – Advanced SQL skills for extracting and joining data from multiple sources.
Experimentation – Knowledge of A/B testing design, statistical analysis, and interpreting experimental results.
Model Deployment & MLOps – Familiarity with deploying models to production and monitoring their performance.
Version Control & Collaboration – Experience with Git and working in collaborative, cross-functional environments.
Excellent problem-solving skills, analytical thinking, and the ability to approach complex challenges creatively.
Strong verbal and written communication skills to effectively collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders

The annual base salary range for this position is $145,890.00 - $162,100.00 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. This job will be posted for a minimum of 5 days.

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.

SEPHORA

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