Working student for Data Science Approaches in MEMS Development (f/m/div.)
Reutlingen, Germany
Applications have closed
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
Bosch Sensortec GmbH develops and markets key technologies in consumer electronics – micro-electro-mechanical sensors (MEMS), solutions and systems for smartphone applications, tablets, video game consoles, wearables, and the Internet of things. The sensors enable devices to recognize their surroundings and to transmit the data collected. MEMS are therefore part of the foundation for a networked world. Bosch Sensortec GmbH is a wholly owned subsidiary of Robert Bosch GmbH.
The Bosch Sensortec GmbH is looking forward to your application!
Job Description
- During your assignment, you will work with an international team of data scientists, data engineers, data analysts and sensor experts to support ongoing development projects.
- You will use machine learning techniques to analyze large and complex datasets and present findings to the team and support decision-making processes.
- You will clearly gain valuable experience in the process - also for the time after your studies.
Qualifications
- Education: studies in the field of Informatics, Physics, Mathematics, Mechanical Engineering or comparable
- Experience and Knowledge: knowledge in Python, Statistics and Machine Learning
- Personality and Working Practice: fast learner, especially for technical topics, and extremely motivated
- Enthusiasm: enjoying a dynamic and young working environment
- Languages: very good in English (written and oral)
Additional Information
Start: according to prior agreement
Duration: 6 months – 10 h/week
Requirement for this working student position is the enrollment at university. Please attach a motivation letter, 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 (Business Department)
+49 7121 35 31567
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Machine Learning Mathematics Physics Python Statistics
Perks/benefits: Startup environment
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