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
- 5+ years’ experience in media monitoring, sponsorship analysis, or related fields (agency background preferred).
- Strong analytical mindset with the ability to structure and interpret data (ETL) into actionable insights.
- Proven experience sourcing and evaluating earned media and monitoring data, with expertise in managing external suppliers or outsourced teams.
- Familiarity with social media platforms and analytics tools (e.g., Sprinklr, native reporting dashboards).
- Basic understanding of Python and motivation to grow technical skills.
- Team-player mentality, proactive, adaptable, and curious, with a passion for sports, culture, and data storytelling.
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RESPONSIBILITIES
- 7+ years of managerial experience in partnership management, media distribution, business development or a similar role, preferably in the media industry
- Experience working in international HQs with regional/local market teams, demonstrating cultural sensitivity and strong interpersonal skills in diverse, global environments.
- Deep understanding of digital content distribution, digital platforms, or sports/media rights management, with the ability to navigate complex stakeholder relationships.
- Proven capability to analyze data, identify opportunities, and provide strategic solutions in high-pressure and fast-paced environments.
- Team-player mentality with exceptional communication, presentation, and negotiation skills, combined with a collaborative, team-oriented mindset and a proactive approach to continuous improvement.
- Willingness to travel internationally, operate with enthusiasm and energy, and manage operationally demanding tasks with a high degree of flexibility and independence.
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RESPONSIBILITIES
- 7+ years of managerial experience in partnership management, media distribution, or business development, preferably in the media industry.
- Proven success managing high-value local market partnerships and complex stakeholder relationships.
- Experience in international HQ or regional/local market settings, with cultural adaptability and global collaboration.
- Strong leadership skills, team management expertise, and a results-driven approach.
- Knowledge of digital content distribution, platforms, or sports/media rights, with strong analytical and problem-solving capabilities.
- Team-player mentality with excellent communication, negotiation, and presentation skills, with flexibility to work independently and travel internationally.
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