Supply Chain Data Science Student - Analytics & Automation

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

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.