Senior Data Scientist
HermèsJob Overview
Join Hermès as a Senior Data Scientist in our innovative H.Lab, part of the Corporate IT, Data, and Innovation department. This role is pivotal in driving digital transformation and data intelligence projects across the company.
Key Responsibilities
- Inspire and Guide: Lead initiatives to explore new territories and enhance customer and employee experiences.
- Incubate and Structure: Develop agile and robust projects, ensuring they align with business needs and technological possibilities.
- Acculturate: Organize internal events, promote new concepts, and contribute to digital acculturation webinars.
- Explore: Collaborate with business units and project managers to understand needs, select appropriate technologies, and ensure security and confidentiality.
- Industrialize: Ensure scalability and performance of AI solutions, integrate models into existing systems, and manage project documentation and reporting.
Required Skills and Experience
- Education: Master's degree in Information Systems with a specialization in data science or data engineering.
- Experience: At least 8 years in data science, with expertise in machine learning, deep learning, and AI deployment.
- Technical Skills: Proficiency in data science tools and libraries such as Scikit-learn, PyTorch, and TensorFlow.
- Project Management: Proven experience in leading projects and teams, with strong organizational and communication skills.
- Language: Fluent in English.
Why Join Us?
- Be part of a responsible employer committed to ethics, diversity, and inclusion.
- Work in a dynamic environment that fosters innovation and creativity.
- Collaborate with a team of experts and contribute to impactful projects.
About Hermès
Hermès is a family-owned French luxury house known for its high-quality craftsmanship and innovative spirit. With over 16,600 employees worldwide, Hermès values autonomy, creativity, and responsible management.
Join us in this exciting journey and contribute to the future of Hermès as a leader in digital transformation and data intelligence.
Benefits Extracted with AI
- Ethical employer
- Diversity and inclusion
- Innovation-driven environment
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