For our team in Graz we are hiring a

Data Scientist f/m/d

  • 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

 

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

Apply via clicking the apply button. 

AVL