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If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.\nJob Summary\n\nZur Unterstützung unserer außergewöhnlichen Teams, die großartige Produkte entwickeln und zu unserem Wachstum beitragen, suchen wir einen\nSimulation Engineer\nDiese Aufgaben erwarten Sie:\nBeurteilung von Produktions-, Prozess- und Qualitätsdaten zur Identifikation von Optimierungs- und Verbesserungspotenzialen\nVerantwortung und fachliche Leitung für die Entwicklung, Anwendung statistischer Methoden und Design of Experiments (DOE) zur Prozessentwicklung und Prozessoptimierung\nDatenbasierte Ermittlung und Optimierung von Prozessfenstern sowie Entwicklung von Lösungen für Prozessoptimierung, Qualitätskontrolle und Fehlererkennung\nUnterstützung von Engineering und Produktion bei komplexen Fehler- und Root-Cause-Analysen\nEntwicklung und Implementierung von Machine-Learning- und KI-Anwendungen für industrielle Prozesse sowie Entwicklung interner Software-, Analyse- und Automatisierungstools sowie Analysierung und Visualisierung von Produktionsdaten\nAnwendung und Weiterentwicklung von Bildverarbeitungs- und Vision-Lösungen für Prüf- und Qualitätsprozesse\nEntwicklung von Lösungen zur intelligenten Nutzung vorhandener Maschinen-, Prozess- und Qualitätsdaten\nLeitung und Umsetzung von Digitalisierungs-, und Smart-Manufacturing- Projekten sowie Einführung neuer Technologien\nWeiterentwicklung digitaler Produktions- und Engineering-Methoden in enger Zusammenarbeit mit Process Engineering, Quality, Operations, Automation und IT\nQualifikationen, die Sie mitbringen sollten:\nTechnische Ausbildung auf HF/FH/Uni-Niveau, beispielsweise in Maschinenbau, Kunststofftechnik, Produktionstechnik, Automation, Industrial Engineering, Data Science oder vergleichbar\nErfahrung in einem industriellen Produktions- oder Engineering-Umfeld sowie im Umgang mit industriellen Bildverarbeitungssystemen\nKenntnisse in statistischer Datenanalyse und idealerweise Erfahrung mit DOE\nHohes analytisches Denkvermögen und eine strukturierte Vorgehensweise bei komplexen Problemstellungen\nSelbständige Arbeitsweise sowie Interesse an der Entwicklung und Einführung neuer Lösungen\nGute Kommunikations- und Teamfähigkeit in einem interdisziplinären Umfeld\nSehr gute Deutschkenntnisse und gute Englischkenntnisse\nOffenes Mindset sowie Freude und Neugier, Neues zu lernen und sich fachlich weiterzuentwickeln\nWas Sie idealerweise, zusätzlich mitbringen:\nErfahrung in einem regulierten Produktionsumfeld, idealerweise im MedTech\nKenntnisse von Statistiktools wie Minitab, JMP oder vergleichbaren Anwendungen\nKenntnisse in Python, SQL oder vergleichbaren Analyse- und Programmiertools\nKenntnisse in Datenvisualisierung, beispielsweise mit Power BI\nKenntnisse in Machine Learning, künstlicher Intelligenz oder Computer Vision\nErfahrung mit MES-, Maschinen- oder Produktionsdatensystemen\nKenntnisse von Lean Manufacturing und Six Sigma\nRB07\nJob Category\nProduction EngineeringRequired Skills:\nOptional Skills:\nFlex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email  and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. 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