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Student trainee in Data Science - Emissions data

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Job

  • Level
    Junior
  • Job Field
    Data
  • Employment Type
    Part Time
  • Contract Type
    Internship / school internship
  • Location
    Sindelfingen
  • Working Model
    Onsite
  • Job Summary

    In this role, you analyze and develop machine learning models to evaluate emission data from materials, aiming to identify the connection between emission values and odor perception.

    Job Technologies

    Your role in the team

    • The Analytics and Interior Emissions team contributes to chemical analysis, assessment, optimization, development of materials and components to ensure high product quality and innovation capability in material selection by our vehicle designers, and to confirm the compliance of interior material emission levels within the vehicle interior.
    • Development of machine learning models for analyzing emission data from materials.
    • The goal is to identify correlations between measured emission values and the odor impression.

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    Our expectations of you

    Qualifications

    • Degree program in Data Science, Computer Science, Statistics, Physics, Chemistry.
    • Proficient in spoken and written German and English.
    • Proficient in MS Office.
    • Commitment and team spirit.
    • Analytical mindset and strategic approach to work.

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    What we offer

    • The position can start from September 2026.

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    Benefits

    More net

    Health, Fitness & Fun

    Work-Life-Integration

    Food & Drink

    Topics that you deal with on the job

    Job Locations

    • Location Sindelfingen

      Baden-Wรผrttemberg

      Germany

    This is your employer

    Mercedes - Benz AG

    Mercedes - Benz AG

    The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.

    Description

  • Founding year
    1926
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Vehicle Manufacturing, Supplier, Industry, Production
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      4.0
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      4.8
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    Logo Mercedes - Benz AG

    Student trainee in Data Science - Emissions data

    Location
    Sindelfingen
    Working Model
    Onsite
    Diversity
    Open for all genders

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