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MEMercedes-Benz Tech Innovation

Working Student Data Science(m/w/x)

Stuttgart
Part-timeWorking StudentWith Home Office
AI/ML
Data Science

Assisting with AI/ML solution development and data pipeline setup for automotive connectivity software at automotive software developer. Enrolled student in Data Science-focused degree with initial ML model experience required. 30 vacation days, flexible working hours.

Requirements

  • Enrolled student in Computer Science, Mathematics, Statistics, Business Informatics, or comparable degree with focus on Data Science
  • Basic knowledge in data modeling, preparation, and analysis
  • Initial practical experience with ML models (e.g., SVM, Neural Networks, LLM)
  • Initial contact with tools like Databricks
  • Good programming skills in Python (ideally with PySpark, Pandas)
  • Curiosity about Data Engineering, Data Analytics, and Cloud Solutions (Azure, AWS)
  • Interest in front-end design
  • Good German and English language skills, both written and spoken

Tasks

  • Support the development of AI solutions
  • Assist with data cleansing
  • Set up data pipelines for AI applications
  • Prepare data for Machine Learning algorithms
  • Contribute to the development of ML algorithms
  • Implement and optimize ML algorithms for data analysis
  • Recognize patterns in data

Education

  • Currently in higher education

Languages

  • GermanBusiness Fluent
  • EnglishBusiness Fluent

Tools & Technologies

  • Databricks
  • Python
  • PySpark
  • Pandas
  • Azure
  • AWS

Benefits

Flexible Working

  • Flexible working hours

More Vacation Days

  • 30 vacation days

Mentorship & Coaching

  • Individual onboarding

Informal Culture

  • Direct contact person
  • Appreciative atmosphere
  • Flat hierarchies
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Mercedes-Benz Tech Innovation and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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