Data Scientist f/m/d

AVL is the world's largest independent company for development, simulation and testing technology of powertrains (hybrid, combustion engines, transmission, electric drive, batteries and software) for passenger cars, trucks and large engines and their integration into the vehicle.

• 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
• Fluent in English, German basic skills

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

Contact: Windisch Stefanie

<img src="https://stats.the-network.com/icons/109911/335.png" width="0" height="0"/>