What We Are Looking ForIntroduction of data engineering methods and tools for our product management databases as part of development-centered product lifecycle management (PLM)Development of intelligent, scalable, reusable, and reliable solutions and methods for data analysis, integration, cleansing, and processingGeneration of new insights together with our domain and data experts (m/f/d) from our development departments and partners (m/f/d)Category development to convert these into more informative data structures using clustering and classification algorithmsDevelopment of machine learning models, especially in the areas of clustering, classification, and text analysisDefining and implementing requirements within the framework of data storage and processing systemsSupporting the automatic provision of engineering data for the application areas of collaborative engineering and digital management of product development dataThe position can be filled at the Kassel, Kiel, Unterlüß, or Hamburg locations.What Qualifications You Should HaveSuccessfully completed degree, e.g., in computer science, engineering, data science, or mathematics, or a comparable qualification with a focus on data science or data analyticsIn-depth experience with semantic analysis methods (e.g., natural language processing) for the structured evaluation of text-based dataGood knowledge of database queries and automation with SQL (PowerShell, scripts, PowerBI), data visualization, and data queries, as well as object-oriented software developmentProfessional experience with PLM databases and data models is an advantageKnowledge of NLP frameworks (e.g., spaCy, NLTK, transformers) and ML libraries such as scikit-learn or PyTorch/TensorFlow is desirableHigh willingness to understand complex data models, grasp semantic relationships, and analytically process domain-specific knowledgeVery good written and spoken German and English skillsStrong communication skills and ability to work in a teamStärken und Erfahrungen zählen bei Rheinmetall, auch wenn vielleicht nicht alle aufgeführten Anforderungen vollständig erfüllt sind. Wir freuen uns auf Bewerber (m/w/d), die Lust haben, etwas zu bewegen und Verantwortung zu übernehmen. Wir legen Wert auf Individualität und Chancengleichheit. Schwerbehinderte Bewerber (m/w/d) werden bei gleicher Eignung besonders berücksichtigt.What We Offer YouAt our location in Kassel, we offer you:Work on complete systemsCompany pension planEmployee stock purchase program & profit sharingFlexible working time models, flexitime model, and VIVA family serviceSubsidized lunch and kiosk on siteFitness and health offeringsCorporate benefits platform with exclusive employee discounts for numerous shopsDiscounted job ticketIndividual and diverse external and internal development opportunities, including at the Rheinmetall AcademyProfessional induction process accompanied by a digital onboarding toolYou can find out more about our location and our employees (m/f/d) in Kassel here.CONTACT INFORMATIONContact Person: Valeria WiebeFor questions regarding your application, please use the contact form.