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Data Scientist (all genders) - On-Site Presence
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
Profile
- Strong analytical and conceptual thinking skills - High affinity for machine learning, generative AI, data-driven problem solving, and complex systems - Structured, independent, and solution-oriented working style - Ability to communicate complex data and insights in a clear and understandable way - Interest in sports and data-driven performance analysis - Detail-oriented and quality-focused - Team player with the ability to collaborate effectively in interdisciplinary environments - Curiosity and motivation to continuously learn and explore new technologies and methods
Professional requirements
- Degree in Data Science, Computer Science, Engineering, Mathematics, or a related field - Strong background in statistics and machine learning, including experience with supervised and unsupervised learning, and model evaluation. - Experience with LLM-based applications or agentic systems - Proficiency in Python; experience with SQL, C++, and C# is a plus - Experience with data visualization, scientific analysis workflows, and deploying models into production environments - Solid understanding of scientific methodology, testing, and experimental validation
Languages
- Good communication skills in English are required.
LocationRue de l'Envers 1, 2606 Corgémont, Switzerland (Bern)
Contact
Benjamin Adler
HR Business Partner
Data Scientist (all genders) - On-Site Presence in Corgémont Arbeitgeber: Swiss Timing LTD
Als Arbeitgeber in der dynamischen Welt des Sports bietet die ST Sportservice GmbH in Leipzig eine inspirierende Arbeitsumgebung, die Innovation und Teamarbeit fördert. Unsere Mitarbeiter profitieren von einem starken Fokus auf persönliche Entwicklung, einer positiven Unternehmenskultur und der Möglichkeit, an hochmodernen Technologien zu arbeiten, die den Sport revolutionieren. Wir legen Wert auf Nachhaltigkeit und die Gesundheit unserer Mitarbeiter, was uns zu einem attraktiven Arbeitgeber für alle macht, die eine sinnstiftende Karriere im Bereich System Engineering anstreben.
