Working Student Data Science (d/m/f/x)

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Position number: V000070857 What tasks do you expect? As a working student (d/m/w/x), you support the development of solutions in the field of artificial intelligence (AI). You work with data cleaning and building Data Pipes for innovative AI applications. In addition, you prepare data for use by Machine Learning (ML) algorithms. You participate in the development, implementation and optimization of ML algorithms for data analysis and pattern recognition.

How do you fit into our team? You are a enrolled student (d/m/w/x) of computer science, mathematics, statistics, business informatics or a comparable study programme focusing on data science. You also have basic knowledge of data modeling, processing and analysis and had already gained first practical experience with ML models (e.g. SVM, Neuronal Networks, LLM). Ideally, you already had first touch points with tools like Databricks. You also have good programming skills in Python (ideally with PySpark, Pandas). You are curious about adjacent topics such as data engineering, data analytics and cloud solutions (Azure, AWS) as well as the front-end design. Good knowledge of German and English in word and writing complete your profile. Unlock your chance: Send us your complete application (incl. registration certificate, note overview, if necessary residence permit) and become part of our team!

Hybrid work possible Employee handy possible Health measures Employee discounts possible Staff Events Food supplements Lifelong learning Mobility offers Employee participation possible Coaching Employment Flexible working time possible Parking space Kantine, Café Good connection Accessibility