RESPONSIBILITIES
- University Masters degree, such as Mathematics, Econometrics, Statistics, Physics, Computer Science, Engineering etc.
- Minimum of 2 years experience, ideally with Data Science experience in the field of Retail /consumer goods data and Marketing Mix Modeling
- Experience in using commercial statistical software packages, e.g. R, Python etc.
- Experience in econometric modelling (systems and analysis)
- Excellent analytical skills, communication and active listening skills
- Good understanding of marketing principles, as well as Consumer/Shopping behavior
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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
- 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
- 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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RESPONSIBILITIES
- 3+ years of experience in an analytical role, preferably within the Streaming Media or Digital Marketing industries; Bachelor’s or Master’s degree in Data Analytics, Statistics, Computer Science, Engineering, Business, Operations Research, or a related field.
- Sharp analytical thinking skills, with a structured and methodical approach to problem-solving, and a proactive, results-driven mindset.
- Strong ability to query large, unstructured data using SQL; experience with at least one statistical programming language (e.g., Python, R) and modern BI tools (e.g., Tableau, Power BI, Looker).
- Excellent communication skills, both verbal and written, with the ability to translate business questions into technical requirements.
- Fluent in English; additional languages are a plus; willingness to learn new tools and skills is essential.
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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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Die Rolle
- 4 years’ experience working as a software or data engineer
- Ability to design & build both maintainable as well as reliable Python code.
- English fluency
- Abillity to design and implement of complex SQL queries
- Experience building data processing pipelines in Python (Apache Airflow).
- Experience with test driven development & writing well tested software applications.
- Experience with big data solutions offered by major cloud providers (esp. Google Cloud).
- Experience with building critical software components with high uptime guarantees is a plus
- Experience with Apache Kafka or related stream processing frameworks is a plus.
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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
- Excellent communication skills in English is required
- At least 3 years of professional experience within a food/drink compliance role
- Knowledge of food science, nutrition & food law (Bachelors degree preferred but not essential)
- Experience in basic project management.
- Knowledge of handling recipe management/PLM systems is a plus
- Logical, analytical and structured way of working
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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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