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Data Scientist, Technology Innovator

2 months ago

San Francisco, California, United States Sephora USA, Inc Full time
About Sephora USA, Inc.

Sephora USA, Inc. is a leading beauty retailer that inspires its customers, empowers its teams, and helps 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

Our technology team works fast and smart, 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.

Job Summary

We are seeking a highly skilled Data Scientist to lead the development of ML systems, drive innovation through cutting-edge AI solutions, and collaborate with cross-functional teams to deliver actionable insights. This role presents an exciting opportunity to shape our data-driven strategies and contribute to developing state-of-the-art solutions.

Key Responsibilities
  • Design, develop, and deploy advanced machine learning models and algorithms to solve complex business challenges.
  • Apply expertise in Generative AI to a variety of use cases driving customer and employee experience.
  • Develop models contributing to synthetic data generation and data augmentation efforts.
  • Utilize strong understanding of Recommendation Systems to design personalized user experiences, drive engagement, and optimize content delivery.
  • Leverage Computer Vision techniques to develop image and video analysis solutions, object detection, image segmentation, and more.
  • 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 robust machine learning best practices within the organization.
Requirements
  • 4+ years of 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.
  • 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.
  • Experience working with cloud computing platforms (AWS, Azure, GCP) and distributed computing is a plus.
  • Passion for staying updated with industry trends and sharing knowledge within the team.
  • Degree in Computer Science, Statistics, Data Science, or a related technical field.
What We Offer
  • A dynamic and supportive work environment.
  • Opportunities for professional growth and development.
  • A comprehensive benefits package, including medical, dental, and vision plans.
  • A generous 401(k) plan and flexible spending accounts.
  • A range of employee discounts and perks.
  • A commitment to diversity, equity, and inclusion.