2 months ago
Werkstudent Data Science
Mercedes-Benz Tech Innovation
On Site
Intern
€30,000
Stuttgart, Baden-Württemberg, Germany
Job Overview
Job TitleWerkstudent Data Science
Job TypeIntern
Offered Salary€30,000
LocationStuttgart, Baden-Württemberg, Germany
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Job Description
About Mercedes-Benz Tech Innovation
Mercedes-Benz Tech Innovation is defining the future with technology, not just building cars. As the largest tech company within the Mercedes-Benz Group AG, we have around 2,500 employees in Ulm, Stuttgart region, Berlin, Karlsruhe, and international tech hubs, working on the mobility trends of tomorrow. We are united by our passion for innovation and the latest technologies, combined with the belief that individual freedom and personal responsibility are crucial for real progress. We are #techinnovators. Learn more about us at Mercedes-Benz Tech Innovation GmbH.What your tasks will be
As a Working Student (d/m/w/x), you will support the development of solutions in Artificial Intelligence (AI). You will be involved in data cleaning and building data pipes for innovative AI applications. Furthermore, you will prepare data for use by Machine Learning (ML) algorithms. You will participate in the development, implementation, and optimization of ML algorithms for data analysis and pattern recognition.How you fit into our team
You are an enrolled student (d/m/w/x) in Computer Science, Mathematics, Statistics, Business Informatics, or a comparable degree program with a focus on Data Science. You have basic knowledge of data modeling, preparation, and analysis, and have gained initial practical experience with ML models (e.g., SVM, Neural Networks, LLM). Ideally, you have had initial exposure to tools like Databricks. You also have good programming skills in Python (ideally with PySpark, Pandas). You are curious about related topics such as Data Engineering, Data Analytics, and Cloud Solutions (Azure, AWS), as well as Front-End design. Good German and English skills, both written and spoken, complete your profile. Unlock your chance: Send us your complete application (incl. enrollment certificate, grade overview, possible residence permit/work permit) and become part of our team!Benefits
Flexible Work Arrangements
To ensure you have enough free time alongside your studies and work, you'll receive a pro-rata 30 days of vacation and the flexibility to plan your working hours. In coordination with your team and supervisor, you also have the option to work remotely. Additionally, almost all our positions are suitable for part-time employment.In the Middle of It All
You'll be involved in innovative, cutting-edge projects and take on responsible tasks, making you a fully-fledged member of our team from the start! Of course, you'll benefit from an attractive salary.Meeting on Equal Footing
At Mercedes-Benz Tech Innovation, we are a team! Our collaboration is based on mutual trust and respect. Flat hierarchies, an appreciative atmosphere, openness, and inclusivity are part of our daily work. To ensure your start with us is successful, you'll receive individual onboarding and a dedicated point of contact.A Great Place to Work
Awards speak louder than words – Mercedes-Benz Tech Innovation has received the “Great Place to Work – Best Employers” award multiple times. Perhaps it will soon be your Great Place to Work!Key skills/competency
Werkstudent Data Science, Artificial Intelligence, AI, Machine Learning, ML, Data Pipes, Data Analysis, Python, PySpark, PandasHow to Get Hired at Mercedes-Benz Tech Innovation
- Tailor your resume: Highlight your Data Science studies, AI/ML project experience, and Python skills.
- Showcase your projects: Detail any personal or academic projects involving data cleaning, ML model implementation, or data pipelines.
- Emphasize collaboration: Mention teamwork experience and your ability to work in an international environment.
- Prepare for technical questions: Be ready to discuss your understanding of ML algorithms and data preparation techniques.
- Demonstrate curiosity: Express enthusiasm for Data Engineering, Cloud, and Front-End topics.
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