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)

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