Data Scientist

Fendi; Roma; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading luxury fashion brand in Rome is seeking a Data Scientist to empower the company with data-driven insights for strategic decision-making. The ideal candidate will possess expertise in machine learning and data analysis, along with a strong background in Python and R programming. This role involves analyzing complex datasets, delivering actionable recommendations, and collaborating across teams to enhance operational efficiency. Knowledge of Power BI and fluency in English and Italian are essential.

Competenze

• 3-5 years of experience in a data scientist role.
• Fluency in English and Italian are required.
• Ability to work independently and perform under pressure.

Mansioni

• Design, develop, and deploy AI/ML models.
• Analyze large datasets to identify key trends.
• Communicate findings to technical and non-technical audiences.

Conoscenze

Machine learning algorithms

Artificial intelligence algorithms

Data analysis

Python

R programming

SQL

Problem-solving

Communication skills

Data visualization

Statistical modelling

Teamwork

Critical thinking

Formazione

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

Strumenti

Power BI

Dataiku

Google Cloud Platform (GCP)

Descrizione del lavoro

Position

Data Scientist

Job Responsibilities

The position is based in our HQ in Rome and part of the Global team.

The Data Scientist's mission is to empower Fendi with data-driven insights that fuel strategic decision-making, enhance customer understanding, and drive business growth. By leveraging analytical expertise and a deep understanding of the business, the Data Scientist's will identify opportunities for optimization, improve operational efficiency, and contribute to Fendi's continued success in the luxury fashion market.

As part of the LVMH Group, this role also involves collaborating and interfacing with other entities within the group, providing a broader perspective and exposure to a diverse range of business challenges and opportunities.

Main Responsibilities

• Proficiency in machine learning and artificial intelligence algorithms with a strong understanding of their practical applications.
• Design, develop, and deploy AI/ML models to address complex business challenges, optimize operational efficiency, and deliver actionable strategic insights.
• Expertise in analyzing large, diverse datasets using advanced statistical and AI techniques to identify key trends, patterns, and correlations, transforming these insights into clear, data-driven recommendations for business stakeholders.
• Proven experience working with customer and sales data, particularly within a retail/consumer environment, to drive targeted business outcomes.
• Expertise in data collection, cleansing, and comprehensive analysis of large datasets from various sources, including customer, sales, and operational data repositories.
• Conduct ad-hoc data analysis to address specific business inquiries and support informed decision-making processes across the organization.
• Measure the impact and effectiveness of strategic initiatives and marketing campaigns using appropriate metrics and rigorous statistical methodologies.
• Measure the results of initiatives and campaigns using appropriate metrics and statistical methods.
• Collaborate closely with business stakeholders to understand their requirements and translate them into clear, well-defined data analysis projects.
• Communicate complex findings, insights, and strategic recommendations to both technical and non-technical audiences in a clear, concise, and persuasive manner.
• Actively participate in cross-functional projects, providing data-driven insights and support for key business initiatives.
• Manage relationships with data vendors, ensuring service level agreements (SLAs) are met and data quality is maintained.

Profile

• Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related field.
• 3-5 years of experience in a data scientist role.
• Proficiency in Python and R programming languages.
• Experience with data visualization tools, mainly Power BI.
• Preferably experience with Dataiku.
• Strong SQL skills and experience with relational databases.
• Familiarity with cloud computing platforms, preferably Google Cloud Platform (GCP).
• Knowledge of statistical modelling techniques. Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team and perform under pressure in a fast-paced.
• Evidence of successful delivery of data driven analysis and recommendations to drive forward business performance.
• Critical thinking and attention to detail, extremely organized and high attention to luxury and detail
• Demonstrated interest in keeping up with emerging technologies and the data trend.
• Fluency in English and Italian are a must

Additional Information

LVMH is committed to non-discrimination and respect of each person’s singularities. We recognize and recruit all types of talent