Working Student Data Science Approaches in MEMS Development (f/m/div.)

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Bosch Sensortec GmbH invites a Working Student Data Science to join MEMS development in Kusterdingen, part time onsite for six months at 10 h/week, with extension possible. You will join an international team of data scientists, engineers and sensor experts to apply machine learning to large data sets and to develop software and GenAI automation tools. Ideal candidates are university students in Data Science, Informatics, Physics, Mathematics, Mechanical Engineering or related fields with Python, GenAI, ML and software development experience, strong conceptual grasp and fluent English. On-site required; start date per agreement; attach CV, transcript, enrollment certificate and work/residence permit if applicable. For best impact, tailor your CV to highlight Python, GenAI, ML projects and software development, including concrete results. Diversity welcome; apply now.

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

Are you ready to dive into the exciting world of data science? If you're passionate about data, eager to learn and ready to make an impact, this is the perfect opportunity for you.

• As our working student, you will work with an international team of data scientists, data engineers, data analysts and sensor experts on innovative development projects.
• You will harness the power of machine learning techniques to analyze large and complex data sets.
• In addition, you will develop software and GenAI-based solutions for automation, turning ideas into practical tools that support our engineering workflows.
• Last but not least, you will 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 Data Science, Informatics, Physics, Mathematics, Mechanical Engineering or comparable
• Experience and Knowledge: in Python, GenAI, software development and Machine Learning
• Personality and Working Practice: you quickly grasp complex technical concepts, eagerly seek new knowledge and maintain a high level of motivation to excel in your tasks
• Work Routine: on-site presence is required
• Languages: very good in 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?
Vitaliy Kondrashov (Functional Department)
+49 162 323 2187

Work #LikeABosch starts here: Apply now!

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