Data Scientist: AI-Driven Sports Analytics

Swiss Timing LTD; Bern; Vor Ort; CHF 110.000 - 140.000; Vollzeit

Zusammenfassung

Swiss Timing LTD is seeking a Data Scientist (all genders) to transform raw sports data into meaningful insights for performance analysis and data storytelling. This on-site role focuses on developing ML models and AI-powered analytics across live and post-processing systems for various sports.

Collaborate with data engineers, software developers, and sports experts to build analytics pipelines, deploy models into production, and ensure data quality and robust validation.

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 and model evaluation.

Aufgaben

• Apply statistical analysis to complex datasets and develop, evaluate, and improve supervised and unsupervised ML models.
• Develop agentic systems that interact with data sources and analytical tools.
• Build AI-powered self-service analytics solutions for tailored analyses, visualizations, and insights for athletes, federations, media, and internal stakeholders.
• Analyze and contextualize sports data to develop algorithms computing key performance metrics.
• Partner with engineering teams to ensure data used for ML/AI is clean, structured, and quality checked.
• Work with engineering teams to deploy, maintain, and monitor ML models in production.
• Contribute to innovation by exploring new methodologies and improving AI/ML systems.

Kenntnisse

Analytics mindset

ML enthusiasm

Independent thinker

Clear communicator

Sports interest

Detail oriented

Team player

Curious learner

Ausbildung

Degree in Data Science or related field

Tools

Python

SQL

C++

C#

Jobbeschreibung

Swiss Timing LTD is seeking a Data Scientist (all genders) to transform raw sports data into meaningful insights for performance analysis and data storytelling. This on-site role focuses on developing ML models and AI-powered analytics across live and post-processing systems for various sports.

Collaborate with data engineers, software developers, and sports experts to build analytics pipelines, deploy models into production, and ensure data quality and robust validation.