Job description

As a Data Scientist at Swiss Timing, you will play a key role in transforming raw sports data into meaningful insights that support performance analysis, data-driven decision-making, and data storytelling. Working as a core member of an interdisciplinary tech team, your primary mission is to develop advanced machine learning models, agentic systems, and AI-powered self-service analytics solutions that drive our live and post-processing systems across a wide range of sports.

You will collaborate closely with data engineers, software developers, and sports domain experts to build robust analytics pipelines and AI-powered systems. This role requires strong scientific thinking, hands-on ML development, and a collaborative mindset to deliver reliable, sport-specific performance metrics.

• Apply statistical analysis to complex datasets and develop, evaluate, and continuously improve supervised and unsupervised machine learning models
• Develop agentic systems that interact with data sources and analytical tools
• Build AI-powered self-service analytics solutions to create tailored analyses, visualizations, and actionable insights for athletes, federations, media, and internal stakeholders
• Analyze and contextualize sports data to develop algorithms that compute key performance metrics
• Partner with engineering teams to ensure databases used for ML and AI applications are clean, structured, and validated with robust data quality checks
• Work closely with our technical and engineering teams to deploy, maintain, and monitor machine learning models in production
• Contribute to innovation by exploring new methodologies and proactively improving existing AI and ML systems