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 (e.g. 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 (e.g. 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
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