Data Scientist - Industrial Analytics (Milan)

Bracco Imaging S.p.A.; Lombardia; Sur place; EUR 47 000 - 57 000; Plein temps

Résumé du poste

Bracco Imaging S.p.A. in Milan is seeking a Data Scientist - Industrial Analytics to shape data-driven strategies and optimize operations across Technical Operations. You will join the Transformation & Performance Improvement team to apply analytics to manufacturing and reporting challenges.

You will build data pipelines with Python/SQL, create Power BI dashboards and KPIs, and contribute to simulations and optimization using OR-Tools. Travel up to 25% within Italy to on-site sites is expected.

Qualifications

• Degree in Mathematics, Statistics, Computer Science, Engineering or a related quantitative field.
• Proven experience in Data Analytics or Data Science with solid statistical foundations.
• Strong proficiency in Python and SQL.

Responsabilités

• Apply statistical methods to industrial metrics (yields, cycle times, OEE, variability).
• Develop data integration and transformation pipelines using Python and SQL.
• Develop Power BI dashboards, data models and KPIs for Technical Operations.
• Contribute to discrete-event simulation and scheduling optimization projects (OR-Tools).
• Collaborate with production sites to identify improvement opportunities.
• Communicate analytical findings to technical and non-technical stakeholders.

Connaissances

Python

SQL

Power BI

Azure Data Factory

Databricks

OR-Tools

Formation

Bachelor's degree in Mathematics/Statistics/CS/Engineering

Outils

Power BI

Azure Data Factory

Databricks

Description du poste

Bracco Imaging S.p.A. in Milan is seeking a Data Scientist - Industrial Analytics to shape data-driven strategies and optimize operations across Technical Operations. You will join the Transformation & Performance Improvement team to apply analytics to manufacturing and reporting challenges.

You will build data pipelines with Python/SQL, create Power BI dashboards and KPIs, and contribute to simulations and optimization using OR-Tools. Travel up to 25% within Italy to on-site sites is expected.