Sephora Assistant Data Scientist Intern
Sephora, a leading name in the luxury beauty retail sector, is part of the prestigious LVMH group. Known for its innovative approach to beauty and customer service, Sephora operates across 34 markets with over 3,000 stores worldwide. As an employer, Sephora is committed to fostering an inclusive and dynamic work environment where creativity and diversity are celebrated.
- Develop and optimize machine learning algorithms such as RandomForest, XGBoost, and Generative AI.
- Facilitate the adoption of machine learning solutions by business teams through monitoring and A/B testing.
- Engage in one of the team's four priority areas: Product Recommendation, Client Scoring, Activity Forecasting, or Generative AI.
- Master Sephora's data ecosystem, including DSS by Dataiku and Google Cloud Platform.
- Identify optimization opportunities and implement algorithms within DSS.
- Enrollment in a Master's program (Bac +5) with a specialization in Data Science or Machine Learning.
- Proficiency in machine learning approaches such as RandomForest, XGBoost, LightGBM, and LSTM.
- Strong command of SQL and Python programming languages.
- Experience with machine learning projects or participation in Kaggle challenges.
- Familiarity with DSS by Dataiku and Google Cloud Platform is advantageous.
- Organizational skills and proactive project management.
- Curiosity and continuous learning in the field of machine learning.
No specific prior experience required, but involvement in machine learning projects or competitions is beneficial.
Master's degree in progress with a focus on Data Science or Machine Learning.
Interns at Sephora benefit from working in a vibrant, international environment with opportunities for professional growth and learning through personalized career development plans.
Sephora prides itself on a culture that values creativity, inclusivity, and diversity. As part of the LVMH group, Sephora offers a global impact and a community of 52,000 passionate employees. The company is committed to equal opportunity and celebrates the uniqueness of each individual.


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