Job Search and Career Advice Platform

Attiva gli avvisi di lavoro via e-mail!

Lead Data Scientist

Moncler Group

Milano

In loco

EUR 80.000 - 120.000

Tempo pieno

12 giorni fa

Genera un CV personalizzato in pochi minuti

Ottieni un colloquio e una retribuzione più elevata. Scopri di più

Descrizione del lavoro

A leading fashion company in Milan seeks a passionate Lead Data Scientist to define GenAI strategies and mentor the Data Science team. Candidates must have a STEM degree and over 10 years of experience in Data Science or AI. They should be proficient in Python and AI frameworks, and familiar with MLOps practices. The role focuses on driving GenAI initiatives and designing AI agents on enterprise frameworks, ensuring operational effectiveness and compliance in data management.

Competenze

  • 10+ years of experience in Data Science/AI.
  • Strong experience with LLMs, GenAI frameworks, agent orchestration.
  • Proficiency in Python and related AI libraries.
  • Knowledge of MLOps and hybrid data architectures.
  • Familiarity with Microsoft Fabric and GCP integration.

Mansioni

  • Lead the technical strategy for GenAI initiatives.
  • Define technical strategy for GenAI projects.
  • Design and develop AI agents on enterprise frameworks.
  • Industrialize AI/ML pipelines for MLOps.
  • Collaborate for data integration performance and security.
  • Mentor the Data Science team.

Conoscenze

Data Science/AI expertise
Python
LLMs knowledge
MLOps
Effective communication
Mentorship

Formazione

STEM degree

Strumenti

Transformers
LangChain
Airflow
Cloud Composer
Microsoft Fabric
GCP (BigQuery, Vertex AI)
Descrizione del lavoro
Overview

For our Worldwide Information & Technology Transformation function we are looking for a passionate Lead Data Scientist to join the Data Platform & AI Team at our HQ in Milan.

Your Impact

The Lead Data Scientist will lead the technical strategy for GenAI initiatives, driving tangible business impact while ensuring quality, security, and compliance.

In particular, the resource will be responsible for:

  • Define technical strategy for GenAI projects: LLM models, fine-tuning, prompt engineering, retrieval-augmented generation (RAG).
  • Design and develop AI agents (single and multi-agent) on enterprise frameworks (Azure AI Agent Service, Google Agent Builder), orchestrating communication and coordination among agents.
  • Industrialize AI/ML pipelines: MLOps, CI/CD, development and production environments, drift monitoring and retraining.
  • Collaborate with Data Engineering for data integration (Microsoft Fabric, GCP BigQuery) and ensure performance and security.
  • Governance and risk management: controls on hallucinations, privacy (GDPR), compliance, and explainability.
  • Mentor the Data Science team and support AI culture dissemination.
Qualifications
Who We Are Looking For

Main qualifications:

  • STEM degree; 10+ years of experience in Data Science/AI.
  • Strong experience with LLMs, GenAI frameworks, agent orchestration.
  • Proficiency in Python, AI libraries (Transformers, LangChain), and orchestration tools (Airflow, Cloud Composer).
  • Knowledge of MLOps (CI/CD, containerization, model monitoring) and hybrid data architectures (on-prem + cloud).
  • Familiarity with Microsoft Fabric, GCP (BigQuery, Vertex AI) and integration with CRM/CDP.
We Would Appreciate a Person That Is:
  • Able to communicate effectively with both business and IT stakeholders.
  • Proactive and collaborative, with a strong ability to lead, mentor, and influence across teams.

“Moncler Group is an equal opportunity employer, which means we do not discriminate on the basis of Ethnic origin, Skin color, Religion, Civil status, Age, Nationality, Ancestry, any form of disability or neurodivergence, medical condition, Gender, Gender Identity or Expression, Sexual Orientation. We celebrate diversity and are committed to creating an inclusive environment for all employees.”

Ottieni la revisione del curriculum gratis e riservata.
oppure trascina qui un file PDF, DOC, DOCX, ODT o PAGES di non oltre 5 MB.