Data Scientist - Integrated Logistics Support | Data Scientist (m/w/d) - Integrated Logistics Support
COPLA Burg GmbH
Job Summary
As a Data Scientist specializing in Integrated Logistics Support (ILS), you will play a pivotal role in optimizing maintenance and logistics processes for complex technical systems. Your day-to-day responsibilities involve collecting and analyzing technical and logistical data from design, operations, and maintenance workflows. You will perform system evaluations, derive maintenance strategies, plan spare parts requirements, and calculate life-cycle costs. Furthermore, you will develop and maintain data models and analytical tools to identify improvement potentials in maintenance routines. This role is ideal for an analytical professional with a background in engineering, mathematics, or data science who is interested in the maritime or industrial sector. You will work in a collaborative, value-driven environment with the opportunity to contribute to high-level system reliability and availability. The position requires a blend of technical expertise, data modeling skills, and effective communication to bridge the gap between complex data analysis and practical logistics implementation.
Required Skills
Education
University degree in Engineering, Data Science, Mathematics, or a comparable field.
Experience
- Professional experience in data analysis, modeling, and evaluation of technical data
- Professional experience in failure analysis (e.g., FMECA) and reliability assessment
- Professional experience in life-cycle assessment of technical systems
- Professional experience in Integrated Logistics Support (ILS) or technical logistics processes
Languages
Additional
- Willingness to travel (approx. 20%) between Hamburg and Bremen. Knowledge of S3000L, MIL-STD-1388, S2000M, or OPUS Suite is highly desirable. Understanding of naval ship operations is considered an advantage.
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