Working at Freudenberg: We will wow your world!
Responsibilities:
1. Largely independent processing of tasks in projects
2. Largely independent development of project proposals
3. Analysis and evaluation of methods in the field of data engineering, data analysis, design of experiments, machine learning and AI with regard to their relevance for the Freudenberg Group
4. Largely Independent application and implementation of the above-mentioned methods
5. Advising internal customers on the preparation, analysis and evaluation of relevant data
6. Creation of functional documentation and reports
Qualifications:
7. Completed technical or scientific studies or a comparable qualification
8. Knowledge of: statistical methods; common programming languages used for data analysis, such as “R”, “Python” or “Spark”; IT environment of continuous data flows (e.g. cloud applications in Azure or comparable environments)
9. Experience with data science methods for model creation, data analysis and evaluation
10. Experience in the use of distributed IT systems (data sources) and cloud-based solutions for data analysis, such as MS Azure Databricks, is advantageous
11. Good knowledge of English, knowledge of German is an advantage