Working Student in Data Science (f/m/div.)
@ Bosch Group

Kusterdingen, Baden-Württemberg, Germany
On Site
Part-time
Posted 17 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXX****** @bosch.com
Recommended after applying

Job Details

Company Overview

Bosch Sensortec GmbH, a subsidiary of Robert Bosch GmbH, develops and markets key technologies in consumer electronics. Their innovative MEMS sensors power smartphones, wearables, tablets, and IoT devices by enabling them to recognize surroundings and transmit data.

Role Overview

As a Working Student in Data Science, you will develop and deploy prediction models for sensor data within a dynamic team environment. You will be involved in creating unit tests, reviewing code and repositories, and preparing essential documentation.

Main Responsibilities

  • Develop and deploy prediction models for sensor data
  • Create unit tests to ensure model reliability
  • Review code and repositories
  • Prepare comprehensive technical documentation

Required Qualifications

  • Pursuing studies in Informatics or related field with good grades
  • Proficiency in Python, SQL, and Git
  • Experience with machine/deep learning projects and generative AI is an advantage
  • Self-organized with an independent, structured approach
  • Excellent English language skills

Work Conditions

This is a 6-month position with a workload of 15 hours per week, requiring once a week office attendance. Enrollment at a university is mandatory.

Key Skills/Competency

  • Data Science
  • Prediction Models
  • Python
  • SQL
  • Git
  • Machine Learning
  • Deep Learning
  • Documentation
  • Unit Testing
  • Generative AI

How to Get Hired at Bosch Group

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python, SQL, and ML skills.
  • Research Bosch Group: Understand their sensor technologies and innovations.
  • Tailor your cover letter: Focus on relevant projects and coursework.
  • Prepare for interviews: Review ML concepts and coding challenges.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Practice SQL data manipulation queries.
Study machine and deep learning basics.
Review unit testing frameworks in Python.

Behavioral Questions

Explain teamwork in independent projects.
Describe problem-solving in code reviews.
Share experiences managing deadlines effectively.
Discuss adapting to office environments.

Frequently Asked Questions