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Data Scientist, Technology

extra parental leave
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years of experience in data science and machine learning, Proficiency in Python and ML libraries, Strong understanding of deep learning frameworks, Experience with Generative AI and Recommendation Systems, Degree in Computer Science or related field.

Key responsabilities:

  • Lead design and deployment of ML models
  • Apply Generative AI for customer experiences
  • Develop models for synthetic data generation
  • Utilize Computer Vision techniques for analysis
  • Collaborate with teams to translate requirements into AI solutions
Sephora logo
Sephora Retail (Super / Hypermarket) XLarge https://www.sephora.com/
10001 Employees
See more Sephora offers

Job description

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 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 of this role:

  • Lead the design, development, and deployment of 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 your 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.



We are excited about you if you have:

  • 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.



You’ll love working here because:

  • The people. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams – people you can be proud to work with.
  • The product. Employees enjoy a product discount and receive free product (“gratis”) various times throughout the year. (Think your friends and family love you now? Just wait until you work at Sephora!)
  • The business. It feels good to win – and Sephora is a leader in the retail industry, defining experiential retail with a digital focus and creating the most loved beauty community in the world…with the awards and accolades to back it up.
  • The perks. Sephora offers comprehensive medical benefits, generous vacation/holiday time off, commuter benefits, and “Summer Fridays” (half-days every Friday between Memorial and Labor Day)…and so much more.
  • The LVMH family. Sephora’s parent company, LVMH, is one of the largest luxury groups in the world, providing support to over 70 brands such as Louis Vuitton, Celine, Marc Jacobs, and Dior.


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Retail (Super / Hypermarket)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Analytical Thinking
  • Problem Solving
  • Collaboration

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