Data Scientist for Reusable Launch Vehicles
Vor 3 Tagen
We are seeking a highly motivated and skilled data scientist to join our team at the Deutsches Zentrum für Luft- und Raumfahrt (DLR) in Bremen. As a data scientist, you will play a key role in designing, implementing, and testing components of a data analysis pipeline for reusable launch systems.
Key Responsibilities- Design and implement data pipelines for flight data exploitation
- Deploy engineering models as containerized applications
- Exploit project document libraries using LLM agents
- Perform Bayesian inference of aerodynamic parameters from numerical and experimental datasets
- Enrolled bachelor or master student in a relevant field (data science, computer science, mathematics, engineering, etc.)
- Profound programming and software engineering skills, particularly with Python, GitLab, Linux (Bash), Docker, and Docker-Compose
- Good English proficiency
- Fulfillment of personal requirements for handling export-controlled goods, especially in accordance with the EU Dual-Use Regulation, national export control regulations, and EAR
- Experience with software libraries from the machine learning ecosystem desirable, e.g. Pandas, Scikit-learn, PyMC, LangChain, Streamlit, Airflow, or similar
- Background in aerospace engineering would be a plus
- German proficiency would be a plus
The DLR is a leading research center in the field of aerospace and aeronautics. We offer a dynamic and inspiring work environment with a diverse team of experts from over 100 nations. Our research focuses on the development of sustainable technologies and the solution of global challenges. We are committed to diversity, equality, and inclusion and strive to create a work environment that is welcoming and inclusive for all.
What We Offer- A competitive salary and benefits package
- Opportunities for professional development and growth
- A dynamic and inspiring work environment
- The chance to work on cutting-edge projects and contribute to the development of sustainable technologies
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