Beschreibung

Behind every record, there are years of intensive training and the athlete
Data Scientist (all genders) - on-site presence
Behind every record, there are years of intensive training and the athlete's desire to produce excellent performances.
Behind the result, there is profound know-how and the high precision of Swiss Timing's state-of-the-art technology.
If you want to participate in the future development of high level sport events ... we are looking for you!
Globally active, our company is constantly seeking for employees determined to progress and strive in a highly innovative environment.
As a company of the Swatch Group, we are committed to quality of life, health and safety, and the environment. We are eager to hire employees with a sustainable mindset.
Data Scientist (all genders) - on-site presence
Job description
Data Scientist in Swiss Timing will play a key role in transforming raw sports data into meaningful insights that support performance analysis, data-driven decision making, and data storytelling. Your primary mission is the refinement, interpretation, and advanced analysis of measured sports data, contributing to both live and post-processing systems used across a wide range of sports and technologies.
You will work with signal processing, statistical analysis, and machine learning, developing robust algorithms and analytics pipelines that convert sensor data into reliable, sport-specific performance metrics. This role requires strong scientific thinking, hands-on algorithm development, and close collaboration with interdisciplinary teams.
Design, implement, and maintain data processing pipelines and algorithms for live and post-event analytics across firmware and software stages
Apply signal processing techniques ( filtering, smoothing, resampling) and implement position estimation using Real Time Tracking System, computer vision, and IMU data
Analyze and contextualize sports data; develop activity recognition algorithms and compute key performance metrics ( speed, acceleration, jump height, rotation)
Extract and communicate actionable insights for athletes, federations, and media
Apply statistical analysis to complex datasets and develop, evaluate, and improve machine learning models (supervised & unsupervised)
Create tailored analyses and visualizations for internal and external stakeholders
Ensure data quality through systematic testing, validation, and performance monitoring; enhance robustness and reliability of outputs
Contribute to innovation by developing new systems, analytics pipelines, and continuously improving existing technologies
Profile
Strong analytical and conceptual thinking skills
High affinity for 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, especially when working with sensitive data
Team player with the ability to collaborate effectively in interdisciplinary environments
Curiosity and motivation to continuously learn and explore new technologies and methods
Proactive mindset with a drive to improve and innovate existing solutions
Professional requirements
Degree in Data Science, Computer Science, Engineering, Physics, Mathematics, or a related field
Strong background in statistics, machine learning, and signal processing
Proficiency in Python; experience with C++ or C# is an advantage
Experience with data visualization and scientific analysis workflows
Solid understanding of scientific methodology and experimental validation
Ability to work independently on complex analytical problems while collaborating effectively in a team
Languages
Good communication skills in English are required.
Company address
Rue de l'Envers
2606 Corgémont
Switzerland
Contact
Benjamin Adler
HR Business Partner jidb2cdab4afr jit0416afr jpiy26afr