Job description

Requirements

  • Entry level
  • No Education
  • Salary to negotiate
  • Sindelfingen

Description

What is driving us in the future? This question is currently confronting the entire automotive industry.
Daimler AG's answer is CASE: Connected, Autonomous, Shared & Services, Electric. By connecting all future CASE fields, Daimler is transforming itself from the automotive manufacturer into a mobility service provider and designed 'intuitive mobility' - with comfortable, user-friendly products and services that make life and mobility of our customers easier.

Your tasks:

Support for preparing structured and unstructured data, by data enrichment, quality control and data transformation
Design and application of Data Mining, Machine Learning and Predictive Analytics methods depending on the specialist unit requirements, the data model and the objective, Z.b. based on the Python, (R, Java)
Presentation of reporting data, Alerting- and Predictive- concepts, for e.g. using Jupyter notebooks or PowerBI

What we offer you:

Being a dynamic, fast-paced and entrepreneurial environment for one of the leading automotive manufacturers
To make the digitization of the automotive industry from a business perspective
Work on a hands-on mentality and analyze complex topics in detail and derive action needs
Parts learning curve in the future of the automotive industry.
Regular technical and personal feedback
Networking and interesting contacts in the company
Ambitious work atmosphere in a dynamic team
Modern office access to creative rooms

What is driving us in the future? This question is currently confronting the entire automotive industry.
Daimler AG's answer is CASE: Connected, Autonomous, Shared & Services, Electric. By connecting all future CASE fields, Daimler is transforming itself from the automotive manufacturer into a mobility service provider and designed 'intuitive mobility' - with comfortable, user-friendly products and services that make life and mobility of our customers easier.

Your tasks:

Support for preparing structured and unstructured data, by data enrichment, quality control and data transformation
Design and application of Data Mining, Machine Learning and Predictive Analytics methods depending on the specialist unit requirements, the data model and the objective, Z.b. based on the Python, (R, Java)
Presentation of reporting data, Alerting- and Predictive- concepts, for e.g. using Jupyter notebooks or PowerBI

What we offer you:

Being a dynamic, fast-paced and entrepreneurial environment for one of the leading automotive manufacturers
To make the digitization of the automotive industry from a business perspective
Work on a hands-on mentality and analyze complex topics in detail and derive action needs
Parts learning curve in the future of the automotive industry.
Regular technical and personal feedback
Networking and interesting contacts in the company
Ambitious work atmosphere in a dynamic team
Modern office access to creative rooms

About the company

Daimler AG is one of the world’s most successful automotive companies. With its divisions Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Financial Services, the Daimler Group is one of the biggest producers of premium cars and the world’s biggest manufacturer of commercial vehicles with a global reach. Daimler Financial Services provides financing, leasing, fleet management, insurance, financial investments, credit cards, and innovative mobility services.

The company’s founders, Gottlieb Daimler and Carl Benz, made history with the invention of the automobile in the year 1886. As a pioneer of automotive engineering, Daimler continues to shape the future of mobility today: The Group’s focus is on innovative and green technologies as well as on safe and superior automobiles that appeal to and fascinate. Daimler consequently invests in the development of alternative drive trains with the long-term goal of emission-free driving: from hybrid vehicles to electric vehicles powered by battery or fuel cell. Furthermore, the company follows a consistent path towards accident-free driving and intelligent connectivity all the way to autonomous driving. This is just one example of how Daimler willingly accepts the challenge of meeting its responsibility towards society and the environment.

The brand portfolio of Daimler comprises Mercedes-Benz, Mercedes-AMG, Mercedes-Maybach, Mercedes me, smart, EQ, Freightliner, Western Star, BharatBenz, Fuso, Setra, Thomas Built Buses as well as Mercedes-Benz Bank, Mercedes-Benz Financial Services, Daimler Truck Financial, moovel, car2go and mytaxi.

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