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Originele vacaturetekst

Data Evaluation Expert

  • Create something new: You are part of an international team that develops data analysis strategies to gain insights into the performance and behavior of our sensors.
  • Observe, and think ahead: You support our engineers, collect their data related requirements, and integrate them into a general data analysis framework.
  • Take responsibility: You develop and maintain data processing pipelines that are used by a multitude of users on a daily basis.
  • Use your creativity and freedom: You explore datasets to help experts in the product engineering process and find solutions to overcome bottlenecks.
  • Think holistically: You combine various data sources to form a seamless data analysis flow for our internal users.
  • Personality: You are a reliable team player with analytical thinking and good communication skills. You can explain concepts and analysis results to audiences with different backgrounds and understand their needs.
  • Working Practice: You structure your tasks, derive priorities, and discuss the status of your work with experts and customers to find the best solution for time critical requests.
  • Experience and Knowledge: Experience in the field of data science or data engineering with a strong background in statistics, signal processing or machine learning.
  • Qualifications: Good knowledge of Python or pySpark, skills in SQL and Matlab programming are beneficial. First experience with the Hadoop ecosystem or relational database concepts are welcome. General understanding of software development workflows.. Previous experience in semiconductors or MEMS sensors are welcome but not required.
  • Enthusiasm: Eager to drive and integrate state of the art data analysis pipelines that support and improve the product development cycle.
  • Languages: English (fluent), German (beneficial)
  • Education: MSc/Diplom or PhD in Computer Science, Physics, Neuroscience or comparable.
Full-time and/or part-time
Art des Stellenangebotes:


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Was wir bieten

Full-time and/or part-time