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Data Science Student (Supply Chain)
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Red Bull
* Teilzeit
* ab 2.221 € monatlich
* Berufseinstieg
* Elsbethen
* Über das Unternehmen
501+ Mitarbeiterinnen
* Fuschl am See
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Data Science Student (Supply Chain)
Elsbethen, Österreich
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Do you study DS/AI/ML and want to give it a go in a global company setting? Love solving puzzles and grinding through real-world data? As a working student in our Data Science team, you'll gain hands-on experience in analyzing and enhancing Red Bull's supply chain efficiency. You'll support the development and implementation of data-driven solutions while assisting in the documentation and improvement of analytical standards. Together with your team, you'll actively contribute to cross-functional projects, taking on independent responsibility for specific work packages and their successful execution.
We are looking for a motivated student to join us onsite in Elsbethen in June 2026 for 20-25h/week, bringing enthusiasm and a passion for data to support our team.
RESPONSIBILITIES
Areas that play to your strengths
All the responsibilities we'll trust you with:
CONDUCT STATISTICAL ANALYSIS
You'll use Python or R to analyse supply chain data and uncover actionable insights.
VISUALIZE DATA
You'll create compelling visualisations to communicate findings to stakeholders and support decision-making.
SUPPORT ONGOING PROJECTS
As a working student, you'll work with a motivated team to support ongoing supply chain efficiency projects.
ENHANCE AUTOMATION
You'll also help build and refine applications to automate repetitive tasks and increase productivity.
COLLABORATE
You'll work with cross-functional teams to integrate data science solutions into real-world supply chain scenarios.
Experience
Your areas of knowledge and expertise
That matter most for this role:
* Currently enrolled in a university program (Master's preferred) in Data Science/AI, Computer Science, Statistics, Operations Research, or a related field
* Very good English skills, written and spoken
* First experience of programming in Python or R for data analysis and visualization, and SQL is a big plus
* Familiarity with statistical methods and their application to solve real-world problems
* Excellent analytical skills with the ability to interpret data and present results clearly
* Communicates effectively and thrives in a collaborative team environment
* Willingness to learn and proac...