RESPONSIBILITIES
- Currently enrolled in a university program 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 R or Python for data analysis and visualisation
- 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
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RESPONSIBILITIES
- Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus.
- FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role a plus.
- 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.
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- 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, …).
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: good 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.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know 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
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- 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, …)
- 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 organization
- 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
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RESPONSIBILITIES
- 2+ years of experience in the FMCG sector, ideally within the beverage industry.
- Strong verbal and written communication skills, with a team-oriented mindset and the ability to engage effectively with stakeholders at various levels.
- A structured, process-oriented approach with a deep understanding of sales processes.
- Hands-on experience in International Sales Business Insights, Distributor/Wholesaler (DP/WHS) Management, and Field Sales Management.
- Proven experience in managing projects, with the ability to drive initiatives from conception to execution.
- Strong analytical skills, including experience with econometric modelling and statistical analysis.
- Proficiency in MS Excel, Access, and PowerPoint; knowledge of SAP BI, Power BI, and Tableau; familiarity with SQL or R is a plus.
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Die Rolle
- Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science) and relevant experience in quantitative analytics or statistics (e.g., from internships or part-time roles).
- Advanced skills in statistical modelling (R, Python) and experience with database languages (e.g., SQL).
- Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing.
- Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way.
- Strong communication and interpersonal skills, with a passion for continuous learning and personal development.
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RESPONSIBILITIES
- Proven experience as a Solution Architect, ideally in a media, data, or content-related environment
- Strong background in Domain-Driven Design (DDD), including hands-on application of methods like event storming and context mapping
- Experience in requirement engineering and stakeholder collaboration to translate business needs into technical solutions
- Degree in computer science with several years of relevant experience
- Fluent in English, German is a plus
- Experience in evaluating build-vs-buy decisions and conducting market research
- Familiarity with agile methodologies and working in cross-functional teams
- Basic knowledge of software engineering, data engineering, and AI, sufficient to discuss technical feasibility with development teams
- Communicative team player with an analytical mind-set willing to take responsibility and drive topics
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RESPONSIBILITIES
- Coordinate and oversee scope, budget, time, quality, and external implementation teams/partners.
- Execute projects following Red Bull project management standards and principles.
- Collaborate with external vendors and internal teams such as architecture and business partners.
- Manage stakeholders, risks, and testing processes.
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RESPONSIBILITIES
- 5+ years of experience in visual communication
- Degree in graphic design, multimedia communication, or related field
- Strong command of Adobe Creative Suite (Photoshop, Illustrator, Premiere Pro, After Effects) and/or Figma, Canva, etc.
- Experience in visual storytelling
- Experience with communication automation solutions (Rapidmail, MailChimp, etc.) is a plus
- Familiarity with Microsoft platforms (e.g., SharePoint, Microsoft Teams)
- Creative thinker with a hands-on mentality
- Self-driven, reliable, and resilient in a dynamic and fast changing environment
- Analytical mindset and process-oriented thinking combined with conceptual competence
- Ability to build relationships and work with people at all levels
- German language is a plus
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Ihre Aufgaben
- Prozessoptimierung und -implementierung:
- Welche neuen metallurgischen Verfahren unterstützen uns bei der Umsetzung unserer Nachhaltigkeitsstrategie?
- Welche Technologien können implementiert werden, um die aktuellen Produktionsprozesse zu verbessern und effizienter zu gestalten?
- Welche neuen Produktionsprozesse sind Basis für die Umsetzung neuer Produktkonzepte?
- Werkstoffinnovationen:
- Wie können durch Abstimmung von Legierungsdesign und Anlagenparametern neue Stahllegierungen entwickelt werden, die die Anforderungen an die Produkteigenschaften und Nachhaltigkeit noch besser erfüllen?
- Wie können wir mit innovativen Beschichtungssystemen einen Mehrwert für unsere Kunden schaffen?
- Modellbildung und Simulation:
- Wie können durch rechnerische oder physikalische Simulation von Prozessen und Werkstoffen höchste Prozesssicherheit und engste Eigenschaftsbereiche erreicht werden?
- Wie können unsere Produkte mit Simulation der anwendungstechnischen Prozesse auf beste Verarbeitbarkeit bei unseren Kunden getrimmt werden?
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RESPONSIBILITIES
- Bachelor’s degree in environmental science, Sustainability Management, Logistics, Supply Chain Management, or a related field; a Master’s degree is a plus.
- Advanced proficiency in English (written and spoken) is mandatory.
- At least 3 years of experience in sustainability roles, ideally within Supply Chain Management and an FMCG (Fast Moving Consumer Goods) environment.
- Proven ability to manage supply chain processes and implement sustainability initiatives.
- Strong project management capabilities, with a focus on delivering results on time and within budget.
- Excellent interpersonal and communication skills to build effective relationships with diverse stakeholders.
- Analytical mindset to identify key issues and create data-driven strategies for improvement.
- Proficiency in MS Office tools, especially Excel, Word, and PowerPoint.
- Familiarity with ESG regulations and sustainable logistics technologies.
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RESPONSIBILITIES
- At least 5 years of professional experience with Digital Workplace services or a similar role.
- Experience in managing budgets related to workplace technology, including cost planning, vendor negotiations, and expense tracking.
- ITIL 4.0 Foundation is a plus.
- Strong Communication & Collaboration – Ability to communicate effectively with users, stakeholders, and vendors in a clear and approachable manner.
- Open-Minded & Adaptable – Willingness to embrace new ideas, adapt to change, and work in a dynamic environment.
- Performance & Result-Oriented – Focused on achieving measurable outcomes and continuously improving workplace solutions.
- Proactive & Growth Mindset – Takes initiative, seeks continuous improvement, and drives innovation.
- Process-Oriented & Structured – Works in a methodical and organized way, ensuring efficiency in digital workplace management.
- Analytical & Strategic Thinking – Ability to recognize complex relationships, break them down into simple solutions, and make data-driven decisions.
- Solution-Oriented – Focuses on resolving challenges efficiently while balancing user needs and business objectives.
- University degree in Computer Science, Information Technology, or an equivalent IT technology education.
- Flexible & Resilient – Able to adapt to shifting priorities and manage multiple tasks effectively.
- Fluent in English, German is considered a plus.
- Passionate About Media & Technology – Enthusiastic about the Red Bull Media House environment and staying up to date with digital workplace trends.
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