Job Description

  • Work with stakeholders throughout the organization to identify opportunities using data and knowledge from the automotive domain to drive business solutions

  • Design and implement metrics, applications and tools that will enable engineers to derive better conclusions (ad-hoc and automated analysis cases)

  • Apply statistical modeling, learning and machine learning techniques to optimize processes and support engineering decisions

  • Design graphical representations and visuals that engineers can easily interpret and understand

  • Support the scale out of design algorithms via implementation in larger software frameworks

  • Keep up to date on relevant technologies and frameworks, identify trends and propose new methods that the team could benefit from

  • Ability and interest to extend knowledge beyond own field of expertise (e.g. powertrain, e-drive, battery, electronics, etc.)

  • Active support and engagement for pre-sales and sales activities (RFQ, RFP handling)  


  • University degree education (MSc, MEng or PhD) in Mathematics/Statistics, Informatics/Telematics or Computer Science

  • Strong proficiency in Python (optional: R, Scala, Julia or comparable) and experience in scalable processing environments like Spark or Dask preferable

  • Proven experience in applying data science methods in industrial use cases

  • Strong soft skills in leadership, communication and facilitation in the teams and working with many different stakeholders with conflicting requirements and needs

  • Strong problem-solving skills to help refining unclear problem statements and figure out how to solve them with the available data

  • Experience building machine learning models in a professional environment

  • Highly developed quality awareness with strong attention to details, ability to work in team, organizational skills

  • Willingness to travel in the context of project execution

  • German skills preferred, fluent in English

Company offers

  • Flexitime Regulation
  • Canteen
  • Award-winning Training Programs
  • Health Management
  • Parental Leave Management (Maternity/Paternity Protection & Educational Leave)

Darbo skelbimo numeris
Data Scientist f/m/d
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Data Scientist f/m/d
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