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
- A minimum of 3 years of experience in a data engineering role.
- Fluency in both German and English.
- Strong Partnership and Collaboration Skills: You have a proven ability to work effectively with technical and non-technical stakeholders. Given the international nature of this role, strong experience collaborating directly with data analysts and data scientists across different regions and sports is essential for success.
- Expert-Level Technical Skills: Deep knowledge of modern data modeling, ETL/ELT development, and data warehousing principles.
- Proven GCP Expertise: Significant hands-on experience building and deploying data platforms on Google Cloud Platform (GCP). Deep proficiency with BigQuery is essential.
- A Proactive, Responsible and Positive Mindset: A track record of taking ownership of complex technical projects and seeing them through to successful completion. You are a pragmatic problem-solver who anticipates challenges and takes initiative, with a “can-do” attitude and culture that we live for at Red Bull IT.
- Project Experience: Proven track record of large-scale project involvement and solutions across complex business domains.
- Partners and vendors: Experience in dealing with sourcing partners, vendors and suppliers, and involvement in multi-stream, complex activities across several external partner teams, tracking success and progress via engineering metrics such as Velocity, Burndown, Capacity Mgmt, Planning and Engineering Forecasting.
- Governance and Policies: Experience in data science and data engineering governance, policies and oversight.
- Bonus Points for: Experience with data transformation tools, especially dbt, workflow management tools like Dagster, Infrastructure-as-Code tools like Terraform.
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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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Die Rolle
- 10+ Jahre Erfahrung im Bereich Data & Analytics mit einem starken Track Record in datengetriebenen Transformationsprojekten, idealerweise im Medien-, Digital- oder Tech-Umfeld
- Nachweisliche Führungserfahrung sowie Kompetenz im Aufbau und in der Skalierung leistungsfähiger Data & Insights-Teams
- Tiefe Kenntnisse in Web- und App-Analytics, Audience Measurement, Data Modelling und Experimentation sowie der Ableitung strategischer Insights
- Erfahrung in Marktforschung (Panels, Studien) und der Integration dieser Daten in digitale Analyse- und Technologieumgebungen
- Sichere Anwendung von BI-Tools, Cloud-Datenplattformen und Data-Pipelines sowie fundiertes Verständnis von Datenschutz, Compliance und DSGVO-Anforderungen
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RESPONSIBILITIES
- Education level/experience within same role/area, such as Degree in Business Administration, Supply Chain or Finance, or experience in Procurement Analytics or Category Management
- Advanced proficiency in English (written and spoken) is required, German or other languages is considered a plus
- Strong analytical skills with experience in data analysis and reporting.
- Knowledge of strategic and operational procurement processes.
- Excellent interpersonal and communication skills to build effective relationships with diverse stakeholders.
- Ability to identify cost-saving opportunities and drive procurement efficiencies.
- Proactive and detail-oriented with a focus on continuous improvement.
- Previous experience within category management or strategic procurement is preferred.
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