Your mission
Become part of our Predictive Maintenance team: We use large amounts of machine data to predict machine failures at our customers' sites early on, thanks to innovative data analytics. You can apply your statistical knowledge directly to real-world challenges in mechanical engineering and actively contribute to the further development of intelligent service solutions.
Your tasks
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You analyze large amounts of machine and sensor data from networked MULTIVAC machines to gain valuable insights.
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You develop and validate statistical models for predictive maintenance applications.
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In this role, you identify relationships and patterns in complex technical data.
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Working closely with machine and service experts, you will analyze components and their behavior during operation.
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You communicate and present the results obtained in a way that is appropriate for the target audience to internal and international stakeholders.
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Furthermore, you will develop creative and data-driven solutions together with an agile international team.
Your profile
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You have a completed degree in statistics, data analysis, mathematics, data science or a comparable course of study with a statistical focus.
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You have good programming skills in at least one language suitable for data analysis, such as Python, SQL or R.
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You have very good knowledge of classical statistical methods.
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Furthermore, you have basic knowledge of relational and document-based databases as well as machine learning. Ideally, you have already gained experience with Databricks, PySpark, or Pandas.
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A quick grasp of concepts and a strong interest in technical issues round off your profile.
- You have good German and English skills, both spoken and written.