Process Expert PDM EE with Data Science Expertise for Product Engineering Mercedes-Benz Trucks (f/m/x)

Daimler Truck AG

📍 Stuttgart
📑 Permanent contract
⏱ Full time
⏱ Part time
📐 Engineering
💼 Professional

Industry

Automotive Suppliers

Tasks

  • Welcome to Daimler Trucks and Buses! We always strive to advance all those who keep the world moving. Transport is the backbone of our economy and modern life. Without transport, factories would no longer be able to produce anything, supermarkets would not be able to sell products and travel would be unimaginable for people.
  • Developments such as digitalisation, autonomous driving and e-mobility represent a fundamental transformation of the transport sector, which is constantly presenting new challenges. To ensure a successful future, we rely on close and trusting cooperation – both with our customers and with our globally active team of highly competent and motivated employees.
  • Would you like to experience the fascination of our industry as part of our team and actively contribute to the success of Daimler Trucks and Buses?
  • At Product Development Mercedes-Benz Trucks, we develop future processes, methods and tools for PDM, PLM.
  • We digitalize and connect global development processes and contribute significantly to high product quality and a short time-to-market timeline.
  • These challenges await you:
  • Development, optimization, and implementation of data-driven processes, methods, and tools for Product Engineering Mercedes-Benz Trucks
  • Focus on ALM-PLM integration at business process management for hardware/software engineering
  • Managing of interdisciplinary teams from IT and engineering departments for planning, coordination, and implementation of digitalization project, e. g. in the area of PDM EE (hardware/software)
  • Analysis and identification of Data Science potentials
  • Prototype development of AI/machine learning applications as proof of concept
  • Design of the digital roadmap and coordination with all relevant stakeholders, such as top management

Hard skills

  • Ideally, you will qualify for this job with:
  • Degree in (Business) IT, Mathematics, Engineering or related fields
  • Knowledge in Engineering processes ideally in Automotive for mechatronic systems (hardware/software)
  • You are experienced in process analysis, methods for product date management PDM/PLM/ALM
  • Knowledge of machine and deep learning algorithms as well as Data Science related programming skills
  • Optional experience in Big Data or Robotic Process Automation
  • First experience in dealing with projects as well as agile methods complete your profile
  • Personal skills:
  • You are a team player
  • You prefer conceptual, process-oriented thinking
  • You enjoy solving complex tasks
  • Curiosity and creativity in the field of digitalization and data science technologies
  • You work independently and are very good at presentation techniques
  • Intercultural competence
  • Business proficiency in German and English

Benefits

  • At Daimler Truck, we promote diversity and foster an inclusive corporate culture. We value the individual strengths of our employees, as these lead to the best team performance and thus to the success of our company. Inclusion and Equal opportunities are important to us – regardless of where you come from and who you are. We look forward to receiving applications from people of all cultures and genders, parents, people with disabilities and people from the LGBTIQ+ community.

About us

At Daimler Truck we want to make a change, to create real impact together. That is why we take responsibility around the globe and work as one global team towards our vision: Leading Sustainable Transportation. It’s people who make the difference and drive success. Together, we will achieve a more sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and financial solutions. All essential, to fulfill our purpose for all who keep the world moving.

YOU MAKE US – YOU MAKE THE DIFFERENCE

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