Industrial Analytics Data Scientist - Optimization & Insights

Bracco Diagnostics Inc.; Lombardia; Hybrid; EUR 37,000 - 46,000; Full time

Job summary

Bracco Diagnostics Inc. in Milan seeks a Data Scientist - Industrial Analytics to drive data-driven improvements across Technical Operations. You will apply statistical methods to manufacturing metrics, build pipelines, and create dashboards to monitor performance.

The role partners with production sites, uses Python, SQL, Power BI, and OR-Tools for optimization, and requires travel within Italy up to 25%. Fluency in English and Italian is expected, with a degree in a quantitative field and at

Qualifications

• Degree in Mathematics, Statistics, Computer Science, Engineering or a related quantitative field.
• At least 3 years of relevant experience in Data Analytics or Data Science.
• Strong proficiency in Python and SQL.
• Experience with Power BI, Azure Data Factory, Databricks, and simulation/optimization is a plus.

Responsibilities

• Apply statistical methods to industrial metrics such as yields, cycle times, OEE, process variability and anomalies.
• Develop and maintain data integration and transformation pipelines using Python and SQL, ensuring data quality and reliability.
• Develop Power BI dashboards, data models and KPIs to monitor performance across Technical Operations.
• Contribute to discrete-event simulation and scheduling optimization projects, including OR-Tools.
• Work directly with production sites and Technical Operations to identify improvement opportunities.
• Communicate complex analytical findings to both technical and non-technical stakeholders effectively.

Skills

Python

SQL

Power BI

Discrete-event simulation

Optimization

OR-Tools

Education

Bachelor's or Master's in Mathematics, Statistics, Computer Science, Engineering or related quantitative field

Tools

Azure Data Factory

Databricks

Job description

Bracco Diagnostics Inc. in Milan seeks a Data Scientist - Industrial Analytics to drive data-driven improvements across Technical Operations. You will apply statistical methods to manufacturing metrics, build pipelines, and create dashboards to monitor performance.

The role partners with production sites, uses Python, SQL, Power BI, and OR-Tools for optimization, and requires travel within Italy up to 25%. Fluency in English and Italian is expected, with a degree in a quantitative field and at