Unlocking the Future of Elite Sport Through Data Insight

1 week ago

Dublin, Dublin City, Ireland beBeeDataScientist Full time €60,000 - €90,000

Unlocking the Full Potential of Elite Athletes through Data Science

We are seeking an experienced data scientist to join our team and contribute to the development of our Intelligence Platform. This cutting-edge operating system is used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League, and MLS.

The successful candidate will work closely with our Engineering, Product, and Performance Science teams to develop practical solutions to some of sport's greatest data challenges. This includes conducting R&D to produce new and highly innovative product features.

Key Responsibilities:
  • Develop and Operationalise Analytics Concepts: Bringing analytics concepts from research to product in collaboration with our Engineering, Product, and Performance teams.
  • Data Science for Elite Sport: Making data science a game-changer in elite sport and the defence sector by working with teams internally and with clients to refine how analytics impact performance.
  • Intelligence Platform Development: Expanding and improving our Intelligence Platform, creating impactful models that inform player development, talent identification, and team performance.
  • Pipeline and Model Integration: Building pipelines and models that integrate seamlessly with our existing infrastructure.
  • Performance Dashboards and Insights: Contributing to the development of performance dashboards, in-depth reports, and data-driven insights that aid coaches, medical staff, and performance departments.
Requirements:
  • Industry Experience: 3–5 years of experience in a data science role, preferably in a research and development capacity in a software company.
  • Programming Skills: Strong programming skills, with experience in Python essential. Clean, organised, and easy-to-read code is required.
  • Machine Learning/Statistical Theory: Solid understanding of machine learning/statistical theory, with practical experience applying a range of techniques.
  • Communication Skills: Strong communication skills – ability to explain complex data science concepts to non-technical stakeholders.
  • Education: Bachelor's/Master's in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field.
Additional Qualities:
  • Experience with Large Datasets: Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar.
  • Generative AI Technologies: Any experience training or implementing Large Language Models and related generative AI technologies would be beneficial.

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