SIGN IN
Intern, Data Scientist - Gen AI jobs in United States
info-icon
This job has closed.
company-logo

SEPHORA · 4 months ago

Intern, Data Scientist - Gen AI

Sephora is a leading beauty retailer that inspires customers and empowers teams. They are seeking a Data Science Intern with a deep understanding of AI techniques to participate in advanced modeling and GenAI projects, driving innovation through cutting-edge AI solutions.
BeautyCosmeticsE-CommerceRetail
badNo H1Bnote

Responsibilities

Participate in the design, development, and deployment of advanced machine learning models and algorithms to solve complex business challenges
Apply expertise in Generative AI to develop and fine tune models, contribute to synthetic data generation and data augmentation efforts, and engineer GenAI agents using both commercial and open source LLMs
Collaborate closely with domain experts, software engineers, and stakeholders to understand business requirements and translate them into actionable AI solutions
Conduct exploratory data analysis, data preprocessing, and feature engineering to ensure high-quality input for modeling
Stay at the forefront of AI research, experimenting with emerging techniques and staying informed about the latest advancements in the field
Communicate findings, insights, and technical concepts to both technical and non-technical audiences through clear visualizations and presentations
Contribute to developing and maintaining a robust machine learning infrastructure and best practices within the organization

Qualification

Generative AIMachine LearningPythonDeep Learning FrameworksSQLAnalytical ThinkingCloud ComputingProblem-SolvingCommunication Skills

Required

Completion or in progress to attain a degree in Computer Science, Statistics, Data Science, or a related field
Experience in data science and machine learning and generative AI, agentic AI systems
Proficiency in writing and testing Python object-oriented code with 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
Passion for the scientific process with knowledge and experience in AI system design, measurement, and testing techniques
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
Eligibility Requirements: Graduating in 2026 or 2027 (undergraduate or graduate degree)
Remote program – work schedule must align with Pacific Standard Time
Must permanently reside and work in the U.S
Must be open to relocating to the San Francisco Bay Area upon graduation for consideration for full-time hybrid positions
Available from June 1 - August 14, 2026
Available for the 1-week On-Site office experience in San Francisco, CA

Preferred

Exposure to cloud computing platforms (AWS, Azure, GCP) and distributed computing is a plus
Strong knowledge of SQL and unstructured data processing a plus
Passion for staying updated with industry trends and sharing knowledge within the team

Benefits

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.

Company

Sephora is an online shopping site that offers a range of beauty products such as cosmetics and skincare items.

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Artemis Patrick
President and CEO, North America
linkedin
leader-logo
Tara Maffeo
Senior Vice President, Store Experience and Business Operations
linkedin
Company data provided by crunchbase