Data Scientist (Supply Chain focus)

Red Bull GmbH
Data and AnalyticsFull-time

Data Scientist (Supply Chain focus)

Elsbethen, Austria
Share

If you're passionate about turning data into reliable, scalable solutions and excited about using your analytical skills and rigor to improve how products flow across a global supply chain – this role is for you. And if you enjoy tough puzzles, inventive ways to crack them, as well as opportunities to explain your solutions to both technical and non-technical audiences, – then this role is doubly for you.

In this position, you'll be a key contributor to global Data Science projects focused on inventory optimisation and risk management initiatives, transforming raw data into actionable insights and helping shape decisions that directly impact availability, cost, and service levels worldwide. You'll combine strong coding skills with analytical structure, and you’re comfortable balancing engineering tasks with clear, compelling storytelling for business audiences.

You'll understand how to build clean, maintainable data pipelines; you enjoy diving into operational datasets; and you know how to formulate the right analyses to answer our most pressing questions. You’ll collaborate closely with Supply Chain, Operations, and Data Science colleagues to deliver end-to-end solutions.

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

Expand all
EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

  • 5+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
  • Programming: proficient in at least one of R, Python, SQL with the ability and willingness to learn the other two.
  • Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
  • Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
  • Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
  • Project Management: able to navigate evolving requirements, prioritise effectively, and scope work in a way that balances impact, effort, and stakeholder needs.
  • Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
  • Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders.
  • Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
  • Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
  • Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones.
  • Grit: proven capability to see things through to the end even if initial feedback is discouraging.
  • Travel 0-10%
JOIN THE TEAM

Got what it takes?

In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.

Share

Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,911 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary. 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.

Data Scientist (Supply Chain focus)

Share
RELATED OPPORTUNITIES

Looking for something else?

Austria, Europe
Data and AnalyticsFull-time

Data Scientist (Supply Chain focus)

Elsbethen, Salzburg, Austria
en
Data and AnalyticsFull-time

Senior Data & Process Developer (PLM)

Elsbethen, Salzburg, Austria
en
Data and AnalyticsFull-time

Finance Data & Reporting Governance Specialist

Fuschl, Salzburg, Austria
en
Red Bull

Giving wiiings to people and ideas since 1987

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 can
What drives us
Chasing our potential

Since the early days of Red Bull, an entrepreneurial mindset has always guided our approach to work and the environment we create:

Meaning

Find your meaning and use your strengths to achieve it!

The bigger reason why you work. To contribute and add value to something or someone.

From the World of Red Bull

Red Bull Jobs

Got questions? We got you covered.

Jobs FAQ

Share

Stay tuned!

Get notified as soon as the applications open.

Bewerben

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

Klicke hier,
um mit der Karte zu interagieren.

Hauptstandort

Red Bull GmbH

Am Brunnen 1
5330 Fuschl am See
Österreich