2025-08-20
DHL (https://group.dhl.com/en.html)
Other
/yr
full-time
employee
Schkeuditz
Germany
Would you like to become part of the most international company in the world? Would you like to make a difference? Then join our team.
European Air Transport Leipzig GmbH (EAT) officially started operations at Leipzig/Halle Airport in spring 2008 as an aircraft maintenance company and registered cargo airline. It is a wholly-owned subsidiary of DHL Group and belongs to the DHL Express division. In cooperation with DHL Air Austria and DHL Air UK Ltd., EAT covers the majority of the European DHL network.
For more information, please visit:
A quick overview of EAT:
The Technical Data Scientist designs, implements, and oversees solutions and applications for the preparation and processing of aircraft operational data, focusing on forward-looking technologies such as Machine Learning and Cloud Computing. He combines practical skills like programming and IT skills with analytical-mathematical thinking and a communication style that allows him to articulate himself to employees and leaders from all disciplines. With expert knowledge in advanced data analysis and Artificial Intelligence, as well as a deep understanding of the technical information generated during aircraft operations, he develops approaches to identify hidden trends in vast amounts of data early and optimize decision-making processes. Through close cooperation with the company's IT and process experts, the Technical Data Scientist creates and maintains an integrated infrastructure that unifies different data sources, enabling the technical end-user to assess technical questions in the most efficient way possible. In this context, the Technical Data Scientist is also available as a project manager. He is an active promoter of the digital corporate culture and supports regular exchanges on the topic of Data Science in the technical area of EAT.
Analyze technical data from aircraft maintenance and operation by applying machine learning and other AI methods
Develop advanced analytics algorithms and data pipelines, including forecasting tools for monitoring and optimizing the technical reliability of our aircraft fleets
Integrate corporate data and, if necessary, expand it with third-party information sources
Improve data collection procedures to capture information relevant for building analytical systems
Process, clean, and verify the integrity of the data used for analysis
Independently develop and implement data science solutions in collaboration with technical staff, as well as conduct training sessions
Ensure compliance with applicable regulations regarding data protection, information security, and aviation law
Lead and participate in projects aimed at continuously improving technical data processing activities
Work closely with the company's departments of Information Technology, Application Management, and Process and Performance Management, as well as the necessary partners within the DPDHL Group
Communicate with suppliers, external companies, scientific institutions, and universities in the development and implementation of projects while safeguarding the interests of DPDHL and EAT
Ensure regular information exchange on the topic of data science across departments and with direct supervisors
Degree in Computer Science, Mathematics, Physics, Engineering, or comparable fields, or equivalent practical knowledge as a Data Scientist
Initial professional experience in the data analysis environment
Enthusiasm for aviation, analytics, and digital transformation
High affinity for mechanical engineering or aerospace technology
Solid knowledge in Data Science and Machine Learning
Proficient in technologies such as Pandas or Spark, as well as programming languages like Python, R, SQL, or Java
Experience in preparing and analyzing structured and unstructured data from various sources
Interest in developing advanced analytics for intelligent evaluation of aircraft operational data
Project management experience is desirable
Knowledge of aviation regulations or aircraft maintenance processes is a plus
Strong analytical thinking skills for solving complex tasks
Fluent in German and English
Excellent communication and presentation skills
Experience in virtual teamwork
If you are interested, we look forward to receiving your meaningful application documents via our online system. Your contact person is Magdalena Brockmann, reachable at +49 (0) 341/ 4499 1792.