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 as soon as possible for 20-25h/week, bringing enthusiasm and a passion for data to support our team.
All the responsibilities we'll trust you with:
You'll use Python or R to analyse supply chain data and uncover actionable insights.
You'll create compelling visualisations to communicate findings to stakeholders and support decision-making.
As a working student, you'll work with a motivated team to support ongoing supply chain efficiency projects.
You'll also help build and refine applications to automate repetitive tasks and increase productivity.
You'll work with cross-functional teams to integrate data science solutions into real-world supply chain scenarios.
that matter most for this role:
In the 1980s Dietrich Mateschitz developed a formula known as the Red Bull Energy Drink. This was not only the launch of a completely new product, in fact it was the birth of a totally new product category.
The company beyond the canChasing our potential
Since the early days of Red Bull, an entrepreneurial mindset has always guided our approach to work and the environment we create:
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