Key Job responsibilities
- Analysis of major (sensor ) data streams from tera to petabyte
- Statistic modelling of processes of production (development of standard, classification and prediction-types)
- Choice and use of machine learning and multi-variant data analyses
- Active shaping and development of Big Data applications
- Collaboration in an innovative and dynamic project team
Qualification & Experience :
- Completed tertiary education in the domain of IT, business administration system or an adjacent field
- Perennial work experience in operating with methods of machine learning and multi-variant data analyses (statistic process-examination, clustering, classification, forecasting or recommendation)
- Practical experience with multiple of the following scripting and programming languages - SQL, R, Python, Scala, Java
- Familiarity with modern tools for analyses (R, Rapidminer, KNIME, Weka, or similar)
- Good English skills are utile
- You have a structured method of working, work well in a team and are willing to always broaden your knowledge
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