Working student in Engineering Connected Products (f/m/div.)
Lollar, HE, Germany
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Bosch Home Comfort Group is looking forward to your application!
Job Description
- You will support in the Thermotechnik IoT Use case by analysis of operational system data of connected heating systems and heat pumps.
- Your job also includes validating data availability and quality and applying state of the art analytic algorithm for proof of concept.
- Furthermore, you will visualize and present the results to the project team.
- Last but not least, you will support in the backend software development e.g. in order to deploy analytic service in Thermotechnik connectivity infrastructure.
Qualifications
- Education: Bachelor studies in the field of Statistics, Mathematics, Data Science, Electronics, Computer Science or comparable
- Experience and Knowledge: competent handling of MS Office and first practical experience in software development or data analytics; programming skills in Python, R, Matlab or any other comparable data analytics language as well as in Backend SW Development and Web-Technologies like Java, JavaScript, REST-Interfaces
- Personality and Working Practice: analytical and structured person
- Languages: fluent in English
Additional Information
Start: according to prior agreement
Duration: 12 months – 10 h/week
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?
Steffen Erkel (Functional Department)
+49 6441 418 2441
#LI-DNI
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Engineering Java JavaScript Mathematics Matlab Python R Spark Statistics
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