Data Science Student (Supply Chain)

Redbull; Elsbethen; Vor Ort; EUR 23.000 - 27.000; Teilzeit

Zusammenfassung

Redbull is seeking a working student to conduct statistical analysis using Python or R, visualize data, and support ongoing supply chain efficiency projects.

You will collaborate with cross-functional teams to integrate data science solutions and help automate repetitive tasks, while developing your skills in a dynamic environment. English proficiency and a Master’s‑level study focus are preferred.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

R

SQL

English

Teamwork

Data analysis

Visualization

Ausbildung

Master's degree or enrollment in Data Science/AI related field

Tools

Python

R

SQL

Jobbeschreibung

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.

• 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.