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Freudenberg Sealing Technologies
Fahrzeugbau/-zulieferer • Elektrotechnik, Feinmechanik & Optik • 10000+ Employees
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                    DHBW Studium - Data Science und Künstliche Intelligenz (w/m/d)

                    Vibracoustic SE & Co. KG
                    Neuenburg am Rhein
                    Vibracoustic is a global automotive supplier delivering comfort and noise-vibration solutions for vehicles. They're hiring a DHBW student for data science and artificial intelligence to rotate through departments, analyse enterprise data and support AI project development. Abitur or Fachhochschulreife, fluent English and genuine enthusiasm for data, digitalisation and AI are required.
                    Vibracoustic is a global automotive supplier delivering comfort and noise-vibration solutions for vehicles. They're hiring a DHBW student for data science and artificial intelligence to rotate through departments, analyse enterprise data and support AI project development. Abitur or Fachhochschulreife, fluent English and genuine enthusiasm for data, digitalisation and AI are required.
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                    What is the average salary for Data Scientist?

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                    57.200 €

                    The average salary for a Data Scientist is 57.200 €. Data Scientist salaries range from 49.200 € to 68.100 €.

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                    How many Data Scientist jobs are available on StepStone?
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                    As well as Data Scientist jobs, you can find Data Analyst, Artificial Intelligence, Informatik, amongst many others.

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                    People who are interested in Data Scientist jobs prefer to look in München, Berlin, Köln.

                    Which industry do Data Scientist jobs belong to?
                    Data Scientist jobs are part of the Science industry.

                    Which skills are beneficial for Data Scientist jobs?
                    The following skills are useful for Data Scientist jobs: AI Applications, Automation, Data analysis, Data Project, Data Science, Development, Digitalization, Machine learning, Production, Production Data, Technology.