Senior Data Scientist

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.

In this position, you'll be a senior contributor and project leader within our Strategic Supply Chain Optimisation stream. You'll combine strong analytical and technical skills with the ability to frame ambiguous problems, guide cross-functional teams, and drive stakeholder alignment at senior levels. You'll understand how supply chains operate and how data-driven insights can influence long-term strategy.

If you are comfortable switching between coding, concept development, and high-level discussions with business partners, always balancing analytical rigor with business practicality, then check the Job requirements below!

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

• You'll support the team by efficiently managing, running, and delivering Data Science projects with a key focus on our Operations stakeholders. This end-to-end approach includes everything from project scoping, execution, quality assurance, and delivery via convincing presentations.

• Not content focusing exclusively on existing service lines and initiatives, you'll actively think along and propose new ways of generating even more value for our stakeholders.

• You'll build close relationships with internal and external stakeholders. Thanks to your collaborative attitude and ability to absorb constructive feedback, you will maximise the likelihood of making each and every Data Science initiative a success for the company.

• You'll work inside the Data Science Team and you'll support them with impact tracking, project and pipeline planning, preparing materials for the planning cycles, internal trainings, onboarding new colleagues, internal and external outreach and more.

• 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%

Senior Data Scientist

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.

What drives usChasing our potential

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