RESPONSIBILITIES
- 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).
- 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.
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RESPONSIBILITIES
- Bachelor’s degree in Management, Engineering, Logistics, Supply Chain Management, Sustainability, Data Science, or a related field.
- Fluency in English (written and spoken); additional languages are an advantage.
- Strong analytical and data analysis skills, with proficiency in MS Office, particularly Excel and PowerPoint.
- Experience with additional data analysis tools or programming languages is considered a plus.
- Prior experience in logistics or sustainability is beneficial but not mandatory.
- Excellent communication skills, paired with strong attention to detail and the ability to manage multiple tasks effectively.
- Team-oriented mindset with a proactive, solution-driven approach.
- Genuine interest in logistics, sustainability, and emerging technologies.
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Aufgaben, die mich erwarten
- aktives und selbständiges Analysieren von Supply Chain Prozessen (wie z.B. Beschaffung, interne und externe Transportlogistik und Lagerlogistik)
- Identifizieren und Spezifizieren von Berechnungsanforderungen sowie Erstellen und Interpretieren von Berichten zur Prozessoptimierung
- Modellieren von Daten sowie Auswerten und Interpretieren der Ergebnisse
- selbständiges Aufbereiten von Kennzahlen und Informieren von beteiligten Stellen innerhalb der Supply Chain
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Aufgaben, die mich erwarten
- Unterstützen bei der Optimierung von Supply Chain Prozessen (von der Beschaffung über die Lagerlogistik bis hin zur Transportlogistik)
- fachliches Mitarbeiten bei der Umsetzung von Berichtsanforderungen (z.B. Definition, Validierung sowie Visualisierung von Daten)
- aktives Mitwirken bei der Analyse und Definition von Datenquellen
- organisatorisches Unterstützen bei der Abstimmung von Ergebnissen mit internen Abteilungen
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RESPONSIBILITIES
- A minimum of 5-7 years of experience in business event production, MICE management, community management or internal communications
- Proficiency in digital communication tools and platforms (e.g., MS Teams, project management software, Adobe Creative Suite, Figma)
- Proven experience in developing and implementing change management concepts
- Outstanding organisational, self-organisational & project management skills
- Creative mindset paired with developed business acumen
- Excellent written & verbal communication abilities
- 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
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RESPONSIBILITIES
- 3+ 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 FMCG experience (beverages industry preferred)
- Bachelor’s or Master’s degree
- Fluent in English, with strong written and verbal communication skills
- Team player with a process-oriented mindset and knowledge of sales processes
- Experience in International Sales, Business Insights, and Data Science
- Strong project management skills
- Background in Econometric Modelling & Statistics
- Proficient in MS Excel, Access, PowerPoint; knowledge of SAP BI, Power BI, Tableau; SQL or R is a plus
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RESPONSIBILITIES
- Bachelor’s degree in Supply Chain or Operations Management (or equivalent practical experience); experience in data science is a plus.
- Fluent in English; German language skills are beneficial.
- 2–4 years of experience in a similar business field — production processes, data setup, operations, or master data management.
- Strong knowledge of ERP systems (SAP required), with hands-on experience managing BOMs and recipe data.
- Proficient in Excel and MS Office, with strong analytical skills and attention to detail.
- Proven ability to ensure data accuracy and maintain consistency across systems and stakeholders.
- Proactive, open-minded, and motivated, with a strong sense of ownership and a continuous improvement mindset.
- Ability to work independently and coordinate cross-functional projects effectively.
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RESPONSIBILITIES
- 7+ years in IT infrastructure architecture or related roles.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- English mandatory, German optional.
- Proven expertise in data integration platforms (e.g., Azure Data Factory) and/or disaster recovery planning.
- Strong knowledge of hybrid cloud environments (Azure, AWS).
- Proficiency in virtualization, storage, networking, and backup technologies.
- Familiarity with automation tools and Infrastructure as Code (IaC).
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RESPONSIBILITIES
- Lead the implementations and rollouts of services across Red Bull and its subsidiaries.
- Coordinate scope, budget, time, quality and external implementation teams/partners.
- Deliver projects based on Red Bull project management standards and principles. Collaborate closely with external vendors, internal teams such as architects and business partners.
- Oversee stakeholder engagement, risk mitigation and test management activities.
- Drive roadmaps and solutions to the company’s benefit.
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Ihre Aufgaben
- Sie übernehmen die End-to-End-Verantwortung für die MDE-Kette im Projekt „IBA“ (Analyzer, PDA, HD Server, DAT Coordinator), inklusive Systempflege, Updates und dem laufenden Betrieb (ggf. Störfall-/Fehlersuche)
- Modellieren von Signalen im „IBA“ Analyzer sowie Abbildung von Prozesslogiken, Pflege konsistenter Phasen-/Ereignismodelle und Sicherstellung über eine einheitliche Datenstruktur über mehrere Anlagen hinweg
- Sie koordinieren das SPS/PLC-Signalmanagement (Siemens S7) und stimmen sich eng mit der Anlagentechnik ab
- Sie stellen den zuverlässigen Datentransfer in zentrale Systeme (z. B. Oracle-DB, Data Warehouse, Data Lake) sicher und überwachen Vollständigkeit und Qualität
- Im EU-Forschungsprojekt übernehmen Sie die Schnittstellenkoordination zwischen Betrieb, Technik, Qualität und Forschungspartner:innen
- Beschaffung sowie Bereitstellung der Daten aus Oracle-DB, Data Warehouse, Messdatensystem (Energiedaten), inklusive Preprocessing und Anonymisierung, inkl. anschließender Übergabe dieser an den Data Lake bzw. unseren externen Partner
- Sie arbeiten eng mit unseren internen IT-Dienstleister:innen (voestalpine group-IT) und dem Bereich Data Science an Datenpfaden, Transformationen und der Integration von Machine-Learning Artefakten in den Betrieb
- Interpretation und Validierung der Machine-Learning Ergebnisse sowie die Erstellung englischsprachiger Berichte, Präsentationen und die Koordination von Terminen sowie die Kommunikation mit Stakeholder:innen sind ebenfalls Teil Ihrer Aufgaben
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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
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
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RESPONSIBILITIES
- Master’s or bachelor’s degree in a relevant field, such as product management, UX design, software engineering, computer science or some years of practical experience in this field.
- Solid track record as a Product Manager, ideally in a B2B or B2E environment.
- Experience in Service Design or UX Design is a strong plus.
- Fluent in English, German is a plus
- Effective communicator, explaining complex concepts to non-technical stakeholders, motivating change, and fostering collaboration across diverse teams.
- Proactive, take ownership, and embrace collaboration with partners across disciplines to deliver great experiences.
- Analytical and problem-solving skills with a knack for data-driven decision-making.
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