Job descriptionData 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 stagesApply signal processing techniques (e.g. filtering, smoothing, resampling) and implement position estimation using Real Time Tracking System, computer vision, and IMU dataAnalyze 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 mediaApply statistical analysis to complex datasets and develop, evaluate, and improve machine learning models (supervised & unsupervised)Create tailored analyses and visualizations for internal and external stakeholdersEnsure data quality through systematic testing, validation, and performance monitoring; enhance robustness and reliability of outputsContribute to innovation by developing new systems, analytics pipelines, and continuously improving existing technologies
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