Data Science Student (Supply Chain)

Red Bull; Elsbethen; Vor Ort; EUR 23.000 - 27.000; Teilzeit

Zusammenfassung

Red Bull is seeking a working student to join our Data Science team in Elsbethen, Austria, to analyze and enhance supply chain efficiency using Python or R. You will support data-driven solutions, visualize results, and help automate repetitive tasks while collaborating with cross-functional teams.

The role is onsite in Elsbethen, part-time (20-25h/week), and requires strong English communication and a willingness to learn in a global company setting.

Qualifikationen

• Currently enrolled in a university program (Master’s preferred) in Data Science/AI, Computer Science, Statistics, Operations Research, or related field.
• Very good English (written and spoken).
• First experience with Python or R for data analysis and visualization; SQL is a big plus.

Aufgaben

• Conduct statistical analysis using Python or R to analyze supply chain data and uncover insights.
• Visualize data to communicate findings to stakeholders and support decision-making.
• Support ongoing supply chain efficiency projects and collaborate with cross-functional teams.

Kenntnisse

Python

R

SQL

Data visualization

English

Ausbildung

Master’s preferred (Data Science/AI or related)

Tools

Python

R

Jobbeschreibung

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:

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.

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 proactively take on new challenges

As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.

Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is € 2.221,00 gross per month.