01 ago - Italia
Gea Group
We are looking for a highly motivated Technical Data Scientist to support operational and quality‑related projects within the digital and IoT domain.
In this role, you will work with raw data from tools, sensors, and industrial production systems to identify patterns, diagnose issues, monitor performance, and improve equipment reliability and product quality.
Your focus will be on delivering actionable insights through rigorous analysis, root‑cause investigation, and real‑time performance monitoring, directly supporting engineering, process, and operations teams.
Analyze operational and sensor data to identify patterns and meaningful insights.
Manage end‑to‑end data workflows, from preparation to deployment.
Use Python to prepare data, build analytical models, and evaluate trends or anomalies.
Write SQL queries to extract and combine data from internal systems.
Create dashboards and visual reports highlighting performance and process stability.
Collaborate with cross‑functional teams to maintain aligned data processes and shared understanding.
Computer Science, Engineering, Mathematics, Physics).
Strong Python programming skills and experience with data analysis and visualization tools.
Solid foundation in statistics and time‑series analysis (variability, trends, correlations).
Good knowledge of SQL and experience with relational databases.
Experience building backend services or APIs using modern web frameworks.
Basic understanding of frontend technologies and ability to contribute to simple dashboards or interactive reporting tools.
Comfort with version control tools such as Git.
Fluent written and spoken English.
Availability for international travel.
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