PreMaster Program | MEMS Mass Production Engineer and Data Science (f/m/div)

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Bosch Sensortec GmbH is looking forward to your application!

Employment type: Limited Working hours: Full-Time Joblocation: Reutlingen Have you completed your bachelor's degree and are eager to begin your career? However, are you so interested in pursuing a master's degree? What? Both! We offer the ideal solution: our PreMaster Program provides practical experience to help you earn your master's degree. This means that you will gain on-the-job experience with us, which you can later expand upon academically during your studies. Join us on an exciting journey in engineering where you'll explore the world of inertial sensors and help shape the next generation of cutting-edge technologies. Be part of a team where your ideas, curiosity and analytical skills can directly contribute to innovative sensor solutions. Support our development engineers in supervising inertial sensors during ramp-up and series production and contribute to continuous improvement through data evaluation, advanced analytics, statistics and failure analysis using Python-based toolchains Take ownership of work packages in these areas and drive them independently Collaborate closely with permanent employees across different departments of Bosch Sensortec GmbH and Robert Bosch GmbH including assembly technology, ASIC design, sensor element design and technology development Bring your ideas, curiosity, and hands-on mindset - we'll give you the space to learn, experiment and grow in an innovative engineering environment

Personality: Commitment and enjoyment of working in a dynamic environment, as well as good technical comprehension, team skills and sociability; strong interest in the latest consumer electronics devices and sensors Working Style: Structured, analytical and target-oriented team player with cross-cultural competence; convincing communication and presentation skills to work successfully with internal and external stakeholders Experience: Strong experience in Python for data analysis, including libraries such as NumPy, PySpark, scikit-learn, pandas or similar; exposure to statistics, data science and data practices including data preprocessing, feature extraction and ETL workflows; familiarity with version control tools (Git, GitHub and/or Bitbucket) is required; first knowledge of MEMS sensors, BI tools or C programming is a plus Languages: English (very good), German is a plus Education: Excellent bachelor's degree in electrical engineering, Microsystems technology, Physics, Materials Science, Computer Science or related fields

Work-life balance: Flexible working in terms of time, place and working model. Health & Sports: Wide range of health and sports activities. Childcare: Intermediary service for childcare services. Employee discounts: Discounts for employees. Room for creativity: Space for creative work. In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan. .