• Master's degree in a quantitative field such as Computer Science, Applied Mathematics, Statistics, Physics, Engineering or Finance, PhD in a quantitative field
• Several years of industrial experience in data analytics or machine learning projects and hands-on experience with SQL, Python and relevant data science libraries such as Scikit-Learn, Keras, TensorFlow
• Demonstrated ability to translate business needs into quantitative analytics problems, proficiency in Big Data technologies such as Hadoop, Hive, Spark or Kafka
• Passion to learn new technologies and analytical methodologies, hands-on experience with Computer Vision, Deep- and Reinforcement Learning techniques
• Experience with cloud-based frameworks for data analytics (e.g. AWS, GCP, Azure), software development and deployment technologies (e.g. Docker, git, CI/CD, Kubernetes)
• Know-how in Unix/Linux-based systems, experience in logistics industry
• Fluency in German, clear and succinct verbal and written communication skills in English

Attractive Payment
We pay a branch-oriented, above average salary.

Flexible Working Hours
We follow the principle of trust based working time, and with agreement we also offer regular working time at home

Working Atmosphere
As a team, we can achieve the best for our customers, employees (m/f/d) and the global community – therefore a pleasant working atmosphere is very important to us.

At DB Schenker, you are part of a global logistics network that connects the world. A network that allows you to shape your career by encouraging you to contribute and truly make a difference. With more than 76,000 colleagues worldwide, we welcome diversity and thrive on individual backgrounds, perspectives and skills. Together as one team, we are Here to move.

The Global Data Strategy & Analytics department is on a mission to turn DB Schenker into a data-driven company. Our Data Science team focuses on designing advanced analytics solutions to solve potential business use cases in logistics utilizing Machine Learning, AI techniques, Data Visualization tools and Big Data technologies in cooperation with our Software Engineering team, internal business units and global IT. We are looking for a talented Data Scientist who can contribute to our projects with solid data intuition, hands-on problem-solving skills, engineering mindset and eagerness to learn how our logistics business works.

Do you have any further questions?
Do not hesitate to contact us.
We look forward to receiving your call/email!

Schenker AG
Kruppstraße 4
45128 Essen
Germany

Phone: +49 201-8781-5525
recruitment.headoffice@dbschenker.com

* Equal Opportunity Employer: at DB Schenker we are proud of our diverse workforce and we are committed in enhancing it further. Therefore, we welcome all applicants, regardless of gender, age, disability, nationality, religion or sexual orientation.