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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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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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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RESPONSIBILITIES
- Education
- Degree in computer science, Information Technology, or related field.
- Proven experience (7 years) in overseeing IT infrastructure, applications and data systems, preferably in a sports performance or high-performance environment.
- IT Related
- Broad understanding of IT infrastructure and application services.
- Proficiency in IT management, including budgeting and vendor control.
- Experience in developing and implementing IT strategies and roadmaps.
- Familiarity with data engineering concepts, including analytics platforms and data pipelines.
- Business Related
- Sound understanding of company functions and culture, particularly within the sports performance domain.
- General
- Strong customer focus and interpersonal skills.
- Ability to communicate complex technical matters effectively.
- Excellent organizational and problem-solving abilities.
- Result-oriented mindset with a proactive approach.
- Proficiency in both German and English language.
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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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Vollzeit | befristet | Praktikum
RESPONSIBILITIES
- Currently enrolled in or recently graduated from a Bachelor’s or Master’s program in Computer Science, Artificial Intelligence, Data Science, or a related field.
- A passion for AI and software development.
- Hands-on experience in software development and programming languages such as Go, Python, TypeScript or Java.
- Ability to work independently with strong attention to detail.
- Familiarity with AI-based tools such as GitHub Copilot, OpenAI, Cursor, or ChatGPT.
- Good problem-solving skills and attention to detail.
- Keen interest in researching and analyzing the market for suitable AI technologies.
- A strong desire to learn and grow and make an impact.
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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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