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Data science engineer (m/f/d)

Bremen
GULP – experts united
Ingenieur
Inserat online seit: Veröffentlicht vor 20 Std.
Beschreibung

For our renowned client company in Hamburg/Bremen, we are currently seeking a dedicated expert in data analysis and Integrated Logistics Support (ILS). We stand for equal opportunities, diversity, and a trusting collaboration that puts you at the center.

Here's what we offer

1. Attractive salary and long-term job security through affiliation with a large corporation.
2. Up to 30 days of vacation per year
3. Company pension scheme contribution after the end of the probationary period
4. Extensive social benefits, including Christmas and holiday pay
5. Reimbursement of travel expenses
6. Usually an open-ended employment contract
7. Good opportunities for acquisition with our business partners
8. Tailored professional development opportunities and free language courses
9. A wide range of employee benefits

Your tasks

In your role as a logistics data specialist, you are the interface between technology and economic efficiency. Your core tasks include:

10. Data management: Collection, analysis and processing of technical and logistical data from design, operation and maintenance.
11. System analysis: Conducting and reporting on logistics system analyses within the framework of Integrated Logistics Support (ILS).
12. Calculation & Planning: Determination of reliability parameters, maintenance strategies, spare parts requirements and life cycle costs.
13. Process optimization: Identification of optimization potential in maintenance and logistics processes through the use of data-driven methods.
14. Tool development: Creation and continuous development of data models and specialized evaluation tools.
15. Interface work: Close professional collaboration with the design and project teams to ensure logistical operational capability.

Your profile

Your profile
They are characterized by a structured work style and a strong affinity for technical data. They possess the following qualifications:

16. Education: A successfully completed technical degree (e.g., engineering, data science, mathematics, or a comparable qualification).
17. Expertise: Solid experience in data analysis, data modeling and complex evaluation of technical systems.
18. Methodological knowledge: Initial experience with failure analysis (FMECA) or reliability calculations (Reliability Block Diagrams) and ideally knowledge of the OPUS Suite (LCC).
19. Industry knowledge: Expertise in the technical operation of naval vessels and initial experience with ILS standards (e.g. S3000L, MIL-STD-1388, S2000M) are advantageous.
20. Soft skills: Team-oriented and independent work style paired with a high sense of responsibility.
21. Communication: Very good German and English skills as well as willingness to travel on business between Hamburg and Bremen (approx. 20%).

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