Data Scientist: ML & Analytics for Business Impact

Bracco Imaging; Milano; In loco; EUR 33.000 - 40.000; Tempo pieno

Descrizione del lavoro

Bracco Imaging is seeking a Data Scientist to join the Digital Transformation Office, designing and deploying machine learning and advanced analytics solutions that create measurable business impact. You will work across business and technical teams to develop data-driven solutions, improve decision-making, and support key transformation initiatives.

The role emphasizes model development, validation, deployment, and collaboration with data engineers and stakeholders to industrialize solutions

Competenze

• 1 to 3 years of experience in data science or advanced analytics.
• Strong hands-on experience with Python and SQL.
• Experience with ML techniques (regression, classification, clustering, forecasting, anomaly detection).
• Familiarity with cloud-based data environments (Databricks or similar).

Mansioni

• Design, develop, and optimize ML and analytics solutions for business use cases.
• Explore, clean, and structure data from multiple sources including CRM and cloud platforms.
• Build, validate, and monitor predictive models and workflows.
• Translate business needs into data science approaches and measurable outcomes.
• Collaborate with data engineers, domain experts, and stakeholders to industrialize solutions.
• Communicate insights and model outputs through visualizations and presentations.
• Support deployment and continuous improvement of models and pipelines.
• Contribute to adoption of data science best practices across the organization.

Conoscenze

Python

SQL

Machine Learning

Model validation

Cross-functional collaboration

Formazione

Bachelor's or Master's in Data Science

Strumenti

Databricks

Power BI

Tableau

Descrizione del lavoro

Bracco Imaging is seeking a Data Scientist to join the Digital Transformation Office, designing and deploying machine learning and advanced analytics solutions that create measurable business impact. You will work across business and technical teams to develop data-driven solutions, improve decision-making, and support key transformation initiatives.

The role emphasizes model development, validation, deployment, and collaboration with data engineers and stakeholders to industrialize solutions