Data Scientist / Data Engineer | Data Scientist / Data Engineer (m/w/d)
Franz Kessler GmbH
Job Summary
This hybrid Data Scientist/Data Engineer role involves managing high-frequency sensor data, developing and maintaining robust Machine Learning pipelines, and ensuring data security and efficiency. The professional will be responsible for processing and storing high-frequency measurement data, utilizing Python for advanced analysis, and creating insightful visualizations and interpretations. A key focus is the development of Machine Learning models for real-time analytics and the comparison of analytical algorithms with Explainable AI approaches. The ideal candidate possesses a technical degree in Data Science, Engineering, or a related field, practical experience with Python, ML methods, and various database systems (Non-SQL and Time-Series), and strong analytical skills. This position offers a long-term perspective within an internationally recognized market leader in machine tool components, providing diverse tasks and opportunities for personal development.
Required Skills
Education
Completed technical degree in Data Engineering, Data Science/Computational Science, Mechanical Engineering, Physics, Electrical Engineering, Mechatronics, Mathematics, or comparable qualification with relevant specializations
Experience
- Experience in handling Python, Machine Learning methods, common data processing procedures, and databases
- Professional experience is desirable
Languages
Additional
- Not specified