Fendi Data Scientist

Fendi, a prestigious brand within the LVMH Group, is renowned for its exquisite craftsmanship and innovation in the luxury fashion industry. As part of the LVMH conglomerate, Fendi benefits from a global presence and a commitment to excellence, fostering a dynamic and inclusive work environment that values diversity and creativity.

1. Develop and implement machine learning and AI models to solve complex business challenges.
2. Analyze large datasets to identify trends and provide actionable insights.
3. Collaborate with stakeholders to translate business needs into data projects.
4. Communicate findings to technical and non-technical audiences.
5. Manage data vendor relationships and ensure data quality.
6. Conduct ad-hoc analyses to support decision-making.
7. Evaluate the impact of strategic initiatives and marketing campaigns.
8. Participate in cross-functional projects, offering data-driven insights.

1. Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related field.
2. 3-5 years of experience in a data scientist role.
3. Fluency in English and Italian.

1. Proficiency in Python and R programming languages.
2. Experience with data visualization tools, primarily Power BI.
3. Strong SQL skills and experience with relational databases.
4. Familiarity with cloud computing platforms, preferably Google Cloud Platform (GCP).
5. Excellent analytical and problem-solving abilities.
6. Strong communication and collaboration skills.
7. Ability to work independently and under pressure in a fast-paced environment.

Minimum of 3-5 years in a data scientist role, with proven experience in delivering data-driven analysis and recommendations.

Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related field.

Fendi offers a hybrid working model, fostering a balance between professional and personal life, along with opportunities for career advancement within the LVMH Group.

Fendi, as part of the LVMH Group, cultivates a culture of innovation, inclusivity, and respect for individuality. The company is committed to non-discrimination and values the unique contributions of each employee, encouraging a diverse and dynamic workplace.