PLM Engineering Data Analyst | PLM Engineering Data Analyst (m/w/d)
Rheinmetall AG
Job Summary
This role involves spearheading the implementation of data engineering methods and tools for product management databases within the framework of development-centric Product Lifecycle Management (PLM). The analyst will develop intelligent, scalable, and reliable solutions for data analysis, integration, cleansing, and processing, working closely with domain and data experts to generate new insights. Key responsibilities include category development using clustering and classification algorithms to create informative data structures, building Machine Learning models, and defining requirements for data storage and processing systems. The position also supports automated engineering data provision for collaborative engineering and digital product development data management. This is an exciting opportunity for a professional with a strong background in data science and analytics to contribute to advanced data-driven solutions.
Required Skills
Education
University degree in Computer Science, Engineering, Data Science, Mathematics, or a comparable qualification with a focus on Data Science or Data Analytics.
Experience
- Professional experience in data science, data analytics, or related fields
- Demonstrated experience with semantic analysis methods (e.g., Natural Language Processing) for structured evaluation of text-based data
- Professional experience with PLM databases and data models (advantageous)
Languages
Additional
- The position can be filled at the Kassel, Kiel, Unterlüß, or Hamburg locations. High willingness to understand complex data models, grasp semantic relationships, and analytically process domain-specific knowledge.
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