Senior Data Scientist / AI Specialist (ML)

Website Continental

datascience; AI; MachineLearning; datadriven; datascientist


We are one of the world’s leading suppliers to the automotive industry, developing solutions to realize people’s dreams of day-to-day mobility. Driver safety, sustainability and industrialization of the technology of the future are just some of our areas of activity where we already make a significant difference in people’s daily lives. What moves us is to know that our technology helps to make the world a better and safer place.



The Senior Data Scientist / AI Specialist will be highly strategic resource for ContiTech. Working within the newly formed Innovation & Digitalization Group, you will directly  contribute in  the areas of Data Science/AI  for developing  POCs, MVPs and applications for new ventures, products or services and have a direct impact on our new AI / Data driven technical solutions.

The following responsibilities are:

  • Lead projects and steer teams to create AI-powered applications for ContiTech;
  • Segment, model and analyze data to develop prototypes and software products that can be deployed across varied environments;
  • Develop and share best practices of professional data science;
  • Employ state-of-the-art Machine Learning methods that power the features of our digital applications and be responsible for the planning and development of all ML components;
  • Be part of our ContiTech and Tires Digital team and closely collaborate with team members of other disciplines like Software Engineering, Software Testing, DevOps, etc.;
  • Consult teams and domain experts how to bring AI to their applications;
  • Support in shaping the processes and organization to leverage the business value Data Science can bring to our enterprise.



  • Master’s degree or PhD in Computer Science, Mathematics, Data Science, or related studies;
  • Minimum 4 years of IT or Industry working experience;
  • In-depth knowledge of a data product journey (data collection, data labeling, data preparation, model development, model evaluation, model optimization, model deployment);
  • Demonstrated Machine Learning background, with relevant hands-on experience applying ML models to time-series data;
  • Expertise in programming with widespread AI Frameworks (e.g., Tensorflow, PyTorch or else);
  • Experience with ML software and model deployment tools (e.g. Git version control, unit tests, containers);
  • Previous working experience on image processing and computer vision methods (preferable);
  • Good to have data engineering knowhow;
  • Ability and experience in communicating/reporting results through data visualization;
  • Previous experience in deploying ML models on mobile and/or IoT devices (is a plus);
  • Project management skills;
  • Reliable team player with structured self-organized workstyle;
  • Problem-solving, proactive, and critical thinking attitude;
  • Good communication skills (technical and business audiences);
  • Experience in working in highly cross cultural and international team  (desirable);
  • Good English language skills (written and spoken).



  • Integration in a challenging and international work environment, featured by the existence of state-of-the-art technologies;
  • An attractive remuneration package and benefits;
  • Continuous professional training and excellent possibilities of personal and professional development.





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