Sephora is looking to reimagine the future of beauty by leveraging data science and AI to drive customer and employee experience through ML systems and cutting-edge AI solutions.
Requirements
- 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.
- Experience working with cloud computing platforms (AWS, Azure, GCP) and distributed computing is a plus.
- Machine Learning for Recommendations – Experience with collaborative filtering, content-based filtering, ranking models, and hybrid approaches.
Responsibilities
- Conduct exploratory data analysis, data preprocessing, and feature engineering to ensure high-quality input for modeling.
- Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business challenges.
- Utilize your strong understanding of Recommendation Systems to design personalized user experiences, drive engagement, and optimize content delivery.
- Stay at the forefront of AI research, experimenting with emerging techniques and staying informed about the latest advancements in the fie
- 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
- Develop models contributing to synthetic data generation and data augmentation efforts.
Other
- 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
