This is what you will grow from:

We offer you exciting and diverse projects in the areas of data science and machine learning in a production-related environment

You create, analyze and verify data pipelines and are responsible for their quality

You will contribute your experience in big data architectures and cloud systems

They use common methods in the areas of analytics and machine learning as well as current software development methods to drive the processes forward

This will help us move forward:

Successfully completed university degree in the field of (business) information technology, data analytics or comparable as well as several years of professional experience in agile projects, ideally in production or in a production-related environment

Sound knowledge of object-oriented programming languages ​​such as JAVA, C#, Phyton, R, Kafka or SQL databases

Data science knowledge and application experience of certain techniques from statistics and modeling using large amounts of data as well as representation using visualization software such as Tableau, Power BI, Qlik or similar.

Knowledge in the areas of forecasting, optimization, predictive maintenance, anomaly detection or image and object recognition is desirable

Ideally experience in other technologies such as: Cloud services (AWS and Azure), Kubernetes, Docker, Kafka, HIVE, Hadoop or Kibana, Spark, Jupyter or TensorFlow

Very good knowledge of German and English, both spoken and written