Industrial Analytics Data Scientist — Manufacturing Optimization

Bracco Imaging S.p.A.; Milano; On-site; EUR 37,000 - 46,000; Full time

Job summary

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 build data pipelines, dashboards and simulations to address manufacturing challenges. The role requires a degree in a quantitative field, 3+ years in data analytics/data science, proficiency in Python and SQL, and ability to communicate complex findings to diverse stakeholders.

Qualifications

• Degree in a quantitative field and strong statistical foundations.
• Proven experience in Data Analytics/Data Science with 3+ years.
• Strong proficiency in Python and SQL; familiarity with BI tools.
• Knowledge of Power BI, Azure Data Factory, Databricks is a plus.

Responsibilities

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

Skills

Python

SQL

Power BI

Azure Data Factory

Databricks

Discrete-event simulation

Mathematical optimization

English

Education

Degree in Mathematics/Statistics/CS/Engineering

Tools

OR-Tools

Job description

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 build data pipelines, dashboards and simulations to address manufacturing challenges. The role requires a degree in a quantitative field, 3+ years in data analytics/data science, proficiency in Python and SQL, and ability to communicate complex findings to diverse stakeholders.