Behind every record, there are years of intensive training and the athleteData Scientist (all genders) - on-site presenceBehind 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 presenceJob 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 ( 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 ( 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 technologiesProfileStrong analytical and conceptual thinking skillsHigh affinity for data-driven problem solving and complex systemsStructured, independent, and solution-oriented working styleAbility to communicate complex data and insights in a clear and understandable wayInterest in sports and data-driven performance analysisDetail-oriented and quality-focused, especially when working with sensitive dataTeam player with the ability to collaborate effectively in interdisciplinary environmentsCuriosity and motivation to continuously learn and explore new technologies and methodsProactive mindset with a drive to improve and innovate existing solutionsProfessional requirementsDegree in Data Science, Computer Science, Engineering, Physics, Mathematics, or a related fieldStrong background in statistics, machine learning, and signal processingProficiency in Python; experience with C++ or C# is an advantageExperience with data visualization and scientific analysis workflowsSolid understanding of scientific methodology and experimental validationAbility to work independently on complex analytical problems while collaborating effectively in a teamLanguagesGood communication skills in English are required.Company addressRue de l'Envers2606 CorgémontSwitzerlandContactBenjamin AdlerHR Business Partner jidb2cdab4afr jit0416afr jpiy26afr