Daimler

Data Scientist in ePowertrain Analysis Team within the E-Mobility Trucks (f/m/x) - (Job Number: DAI00010SW)


PayCompetitive
LocationWürttemberg/Baden
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 562055
      !*!

      Welcome to Daimler Trucks and Busses! We always strive to lead the way that keep the world moving. Transport is the backbone of our economy and of modern life.

      Our aim is to make the world cleaner, safer, more efficient and more comfortable. We firmly believe in the importance of highly innovative technology and we are always at the forefront of developing our products for our corporate social responsibility.
      Developments such as digitalization, autonomous driving and e-mobility represent a fundamental transformation of the transport sector, which constantly brings new challenges with it. To ensure a successful future, we rely on a close and trusting cooperation – both with our customers and with our global active team of highly competent and motivated employees. Join us our team, experience the fascination of our industry and actively contribute to the success of Daimler Trucks and Busses!

      As part of the ePowertrain Analysis Team, you will be part of the development of new products in the E-Mobility sector with Daimler Truck! You will join our cross-functional team working alongside engineers, developers and data scientists.

      You will be responsible for the analysis of our ePowertrain and would be an essential part of our future eTrucks projects. You will work closely with business stakeholders and engineers to understand their requirements, such as:

      • The implementation and maintenance of battery and fuel cell models of our eTrucks

      • Building reporting systems to support and facilitate data-based decision-making and development

      • Ensuring data accuracy, privacy, and security of vehicle data

      Your main tasks would entail:

      • Development of Data Models and Data Pipelines using Python, pyspark, and SQL

      • Working with machine learning, MLOPs and advanced empirical models

      • Documentation of code and data pipelines

      • Data warehousing

      • Working with the Full Microsoft Azure Cloud & DevOps Stack

      • Power BI visualizations and data Models

      • Collaboration with international development and engineering teams

      • Research and development of new models and algorithms

      !*!

      Your qualifications:

      Studies:

      • Electrical/ Electronic/ Mechatronics/ Computer Engineering/Computer Science, Data Science or similar studies focused on data engineering and Machine Learning

      Qualification:

      • Good Knowledge of AI and Machine Learning

      • Know-how of Microsoft Azure

      • Good Knowledge of Python and SQL Programming

      Languages:

      • English proficiency

      Personal Competencies:

      • Analytical thinking

      • Structured working process

      • Result oriented

      • Good work in teams

      Additional information:

      It is a permanent position.

      It doesn’t work completely without formalities. When sending your online application, please attach your CV, an individual letter and any references you may have (max. 5 MB).

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

      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-zentrale-truck@daimlertruck.com

      If you have any questions regarding the application process, please contact HR Services by e-mail: hrservices@daimlertruck.com


      Mercedesstr. 128;Gebäude 128 (DE70327ZT)
      Mercedesstr. 128

      Stuttgart, 70327

  • About the company

      Information on Daimler AG, our products, innovations, sustainability, careers and investor relations.