RESPONSIBILITIES
- 2+ 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
- 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
- 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
- Previous experience managing a team is 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
- University Degree in Economics, Business Administration or similar or equal practical experience
- Excellent English skills, German is an advantage
- Work experience preferably within a FMCG environment (ideally in the field of Business or IT)
- Proven project management skills
- High proficiency in Microsoft Office
- Problem solver with can do attitude, who can transform ideas into practical and workable solutions
- Excellent attention to detail, process driven and structured
- Excellent organisation, presentation, and communication skills to present findings in a clear and compelling manner
- Learner, self-motivated and able to work both independently and as part of a team
- Experience with data analysis tools, BI tools and other statistical software or coding languages is an advantage (such as SAP Analytics Cloud, Power BI, Tableau, Trifacta, R, Python, SQL…)
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Die Rolle
- Passion for music, with expertise in audio recognition and pattern recognition.
- German (native) and English (fluent)
- Bachelor’s degree in Computer Science, with a focus on Machine Learning and AI.
- Proven experience in project management, especially in tech or AI-driven projects.
- Strong skills in data management, annotation processes, and quality control.
- Proficiency in testing workflows, QA, and bug identification.
- Solid understanding of music and audio analysis, including MIDI data and sound pattern recognition.
- Excellent analytical skills for interpreting data and optimizing models.
- Clear and effective communication skills with internal and external teams.
- Creative problem-solving abilities for complex technical challenges.
- Ability to work independently and collaboratively in a fast-paced, startup environment.
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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
- 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
- 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
- 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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