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Digital product owner

Maglio di Sopra
GEA Group
Pubblicato il Pubblicato 11h fa
Descrizione

Ph3Responsibilities / Tasks /h3 pWe are looking for a highly motivated Technical Data Scientist to support operational and quality‑related projects within the digital and IoT domain. /p pIn 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. /p pYour 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. /p h3Key Responsibilities /h3 ul liAnalyze operational and sensor data to identify patterns and meaningful insights. /li liDetect recurring issues, performance changes, and sources of variability in production environments. /li liTrack KPIs and identify anomalies or unexpected behavior. /li liManage end‑to‑end data workflows, from preparation to deployment. /li liUse Python to prepare data, build analytical models, and evaluate trends or anomalies. /li liWrite SQL queries to extract and combine data from internal systems. /li liCreate dashboards and visual reports highlighting performance and process stability. /li liSummarize technical findings clearly to support quick and informed decision‑making. /li liShare insights with engineering teams to support troubleshooting and improvement efforts. /li liCollaborate with cross‑functional teams to maintain aligned data processes and shared understanding. /li /ul h3Your Profile / Qualifications /h3 pWhat sets you up for success: /p ul liMaster’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Mathematics, Physics). /li liStrong Python programming skills and experience with data analysis and visualization tools. /li liSolid foundation in statistics and time‑series analysis (variability, trends, correlations). /li liFamiliarity with machine learning concepts and hands‑on experience with modern ML frameworks. /li liGood knowledge of SQL and experience with relational databases. /li liExperience building backend services or APIs using modern web frameworks. /li liBasic understanding of frontend technologies and ability to contribute to simple dashboards or interactive reporting tools. /li liExperience with containerized applications (e.g., Docker). /li liComfort with version control tools such as Git. /li liFluent written and spoken English. /li liStrong customer orientation and communication skills. /li liAutonomy, curiosity, and a strong problem‑solving mindset. /li liAbility to work effectively in cross‑functional teams. /li liAvailability for international travel. /li /ul h3Did we spark your interest? /h3 pThen please click apply above to access our guided application process. /p /p #J-18808-Ljbffr

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