Swiss Timing Data Scientist

About Swiss Timing

Swiss Timing stands at the intersection of Swiss precision, technological innovation, and world-class sport. As a member of the Swatch Group, the company has built an exceptional reputation for delivering timing, scoring, data handling, and broadcast solutions for the Olympic Games and leading international competitions. As an employer, Swiss Timing offers a dynamic environment where engineers, project leaders, technicians, and digital specialists contribute to moments watched by millions. The company values accuracy, reliability, teamwork, and calm excellence under pressure, providing employees with the opportunity to work on complex global events while advancing the standards of performance measurement in elite sport.

Role & Responsibilities

• Develop, evaluate, and continuously improve supervised and unsupervised machine learning models applied to complex sports datasets
• Design and deploy agentic systems that interact with data sources and analytical tools to automate insights generation
• Build AI-powered self-service analytics solutions that deliver tailored analyses, visualizations, and actionable insights for athletes, federations, media, and internal stakeholders
• Apply statistical analysis to contextualize sports data and develop algorithms that compute key performance metrics
• Collaborate with data engineering teams to ensure production databases meet quality standards, maintain data integrity, and implement robust validation checks
• Partner with technical and engineering teams to deploy, monitor, and maintain machine learning models in production environments
• Explore innovative methodologies and proactively enhance existing AI and ML systems to drive competitive advantage in sports analytics

Qualifications

• Degree in Data Science, Computer Science, Engineering, Mathematics, or related field
• Strong background in statistics and machine learning, including demonstrated experience with supervised and unsupervised learning methodologies and model evaluation techniques
• Proven experience developing LLM-based applications or agentic systems
• Proficiency in Python; experience with SQL, C++, and C# is advantageous
• Solid understanding of scientific methodology, experimental validation, and testing protocols
• Experience deploying machine learning models into production environments and managing data visualization workflows

Skills

Experience

["Demonstrated experience in machine learning model development and evaluation", "Background in building or working with LLM-based applications or agentic AI systems", "Experience deploying and maintaining machine learning models in production environments", "Background in statistical analysis and experimental validation of complex datasets"]

Education

Degree in Data Science, Computer Science, Engineering, Mathematics, or a related quantitative field

Workplace

Culture

Swiss Timing offers a workplace culture defined by precision, innovation, and the excitement of world-class sport. As part of the Swatch Group, it brings together technical expertise, teamwork, and operational excellence, giving employees the opportunity to contribute to high-profile international events where reliability and performance are essential.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.