Sport Analytics Data Scientist - ML for Live Insights

Swiss Timing Ltd

Schweiz

Vor Ort

EUR 70.000 - 100.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Swiss Timing Ltd in Austria/Switzerland is seeking a Data Scientist to turn raw sports data into insights for performance analysis and decision making. You will develop ML models, agentic systems, and AI-powered analytics for live and post-processing workflows across sports.

Work with data engineers, software developers and sports experts to build robust analytics pipelines, ensure data quality, and deploy models into production with a focus on reliability and impact.

Qualifikationen

  • Degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
  • Strong background in statistics and machine learning, including supervised and unsupervised learning.

Aufgaben

  • Apply statistical analysis to complex datasets and develop, evaluate, and improve ML models.
  • Develop agentic systems that interact with data sources and analytical tools.
  • Build AI-powered self-service analytics for tailored analyses and insights for stakeholders.
  • Analyze and contextualize sports data to develop performance metrics.
  • Collaborate with engineering teams to ensure clean, validated data pipelines.
  • Deploy, maintain, and monitor ML models in production.

Kenntnisse

Analytical thinking
ML / data-driven problem solving
Communication of insights
Team collaboration
Curiosity and learning

Ausbildung

Data Science / CS / Engineering / Mathematics degree

Tools

Python
SQL
C++
C#

Jobbeschreibung

Swiss Timing Ltd in Austria/Switzerland is seeking a Data Scientist to turn raw sports data into insights for performance analysis and decision making. You will develop ML models, agentic systems, and AI-powered analytics for live and post-processing workflows across sports.

Work with data engineers, software developers and sports experts to build robust analytics pipelines, ensure data quality, and deploy models into production with a focus on reliability and impact.

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