Working Student for Data Science Approaches in MEMS Development (f/m/div.)
Working Student for Data Science Approaches in MEMS Development (f/m/div.)
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1 Vacancy
Job Description
Are you ready to dive into the exciting world of data science If youre passionate about data eager to learn and ready to make an impact this is the perfect opportunity for you!
- During your assignment you will work with an international team of data scientists data engineers data analysts and sensor experts as we embark on innovative development projects.
- You will harness the power of machine learning techniques to analyze large and complex datasets. Your insights will not only contribute to our projects but also play a crucial role in shaping our decision-making processes.
- Furthermore youll have the opportunity to present your findings to a diverse team collaborating with talented individuals from around the globe.
Qualifications :
- Education: studies in the field of Informatics Physics Mathematics Mechanical Engineering or comparable
- Experience and Knowledge: in Python Statistics and Machine Learning
- Personality and Working Practice: you quickly grasp complex technical concepts eagerly seek out new knowledge and maintain a high level of motivation to excel in your tasks
- Enthusiasm: for a dynamic working environment
- Languages: good in written and spoken English
Additional Information :
Start: according to prior agreement
Duration: 6 months 10 h/week (extension possible)
Requirement for this working student position is the enrollment at university. Please attach your CV transcript of records enrollment certificate and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Katharina Bierwagen (Functional Department)
#LI-DNI
Remote Work :
No
Employment Type :
Part-time
Employment Type
Part-time
