Intern, Data Scientist - Gen AI

Job ID: 253282
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Address: FSC, Remote, CA 94105, United States (US)
Job Type: Full Time
Position Type: Intern/Trainee
Job Function: Information Technology
Remote Eligible: Yes

 

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 ExtraOrdinary in each of us.  We are united by a common goal - to reimagine the future of beauty.

 

The Opportunity:

We are seeking a Data Science Intern with a deep understanding of AI techniques, including generative AI systems. As a Data Science Intern, you will participate in advanced modeling and GenAI projects, drive innovation through cutting-edge AI solutions, and collaborate with cross-functional teams to deliver working applications. This role presents an exciting opportunity to shape our data-driven strategies and contribute to developing state-of-the-art solutions.

 

Key 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.

 

Qualifications and Skills:

• 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.
• 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.
• Exposure to cloud computing platforms (AWS, Azure, GCP) and distributed computing is a plus.

The target hourly pay for this position is $23.00 - $23.00 per hour. The actual hourly pay offered depends on a variety of factors, which may include, as applicable, the individual 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 include 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 o