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We are all in for change. - Are you too? The world is changing. The question is, what will be our contribution to the outcome? At Daimler, interdisciplinary teams are developing the mobility of tomorrow. You are very welcome to join them. Together, we will create new connected ways to move around our globe. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts. Innovative solutions by and for the people.

Job-ID: MER0001YY3
Aufgaben We are a small team of astrophysicists, mathematicians, computer scientists and economists. You have the chance to be part of this team.

All of us working together on large amounts of data to build great cars. On an average, we receive more than 1 TB of data per day. This data can come from various components in the car.

As a team, we collaborate with mechanical engineers, electrical experts, autonomous driving teams, battery development teams, futuristic car design teams to build better products using data.


You face the following challenges:
  • You will have access to this large ocean of data, virtual machines, clusters, cloud compute resources
  • You will have the freedom to create analytics and machine-learning use cases with the guidance of your supervisor
  • Primary goal or motive will be to generate valuable insights and also work on complex data engineering tasks based on the large data available


Profil
  • Master's or Phd students in the field of computer science, Informatics, Mathematics, Physics, Electronics & Commnication
  • Professional speaking and writing skills in english
  • Experiences with MS-Office
  • Python, Data engineering algorithms, Spark, Machine learning libraries, distributed systems
  • Hands on experience working with large data
  • Ability to lead his own project and take accountability of his work
  • Extremely motivated and curious




Additional information:

It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.

Please find the criteria of employment here.
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-sindelfingen@ mercedes-benz.com

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at hrservices@mercedes-benz.com or the Ch at-Bot on our career page via the plus symbol.

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