Senior Data Scientist

Website Continental

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.

At Continental Tires we want to make analytical excellence an integral part of all processes that have impact on leveraging business value. In cooperation with our domain experts from the Business Units we identify business problems which can be supported and solved by using methods from Advanced Analytics and Artificial Intelligence. Only with data insights we will be able to adapt to changes and mitigate risks in a constantly changing economy.



As Senior Data Scientist, with focus on AI, you will work in a global team of experts delivering AI based products and know-how to diverse areas all over the tire business. Our new Data Science Hub in Portugal will be integral part of this team.

The following responsibilities are:


  • Lead projects and steer teams to create AI-powered applications for ContiTech;
  • Consult teams and domain experts how to bring AI to their applications;
  • Work with domain experts to understand their problems and solve them with data;
  • Be a partner in connecting the necessary experts from business and IT to solve problems;
  • Get involved into different tasks at once and involve yourself with our team to get the support you need;
  • 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, Statistics, Physics or similar studies;
  • Professional experience in the area of Data Science or data driven function;
  • Knowledge in several programming languages in order to analyse data, develop analytical applications;
  • Experience with modern software architectures (Container, CI/CD, Virtualization, Databases, Streaming, APIs, Microservices);
  • Experience with one AI framework (PyTorch, Tensorflow, …);
  • Knowledge in ML methods (XGBoost, Time-series, Regression, SVM, etc.);
  • Experience with several data management processes like Relational data models (ERM), dimensional models (OLAP) and unstructured data models;
  • Basic programming in object oriented programming is a plus;
  • Reliable team player with structured self-organized workstyle;
  • Stakeholder-oriented communication and presentation skills;
  • Strong English language skills (written and spoken);
  • Minimum 4 years of IT or Industry working experience;
  • Experience in working in a multinational company (is a plus).



  • 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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