Data Science Student: Supply Chain Analytics & Automation

Red Bull

Elsbethen

Vor Ort

EUR 23.000 - 27.000

Teilzeit

vor 22 Stunden
Sei unter den ersten Bewerbenden
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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

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.

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