Data Scientist (all genders) - on-site presence

About Us

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.

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.

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

Languages

• Good communication skills in English are required.