Data Scientist (all genders) - On-Site Presence

## The company ##

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 ##

As a Data Scientist at Swiss Timing, you will play a key role in transforming raw sports data into meaningful insights that support performance analysis, data-driven decision-making, and data storytelling. Working as a core member of an interdisciplinary tech team, your primary mission is to develop advanced machine learning models, agentic systems, and AI-powered self-service analytics solutions that drive our live and post-processing systems across a wide range of sports.

You will collaborate closely with data engineers, software developers, and sports domain experts to build robust analytics pipelines and AI-powered systems. This role requires strong scientific thinking, hands-on ML development, and a collaborative mindset to deliver reliable, sport-specific performance metrics.

* Apply statistical analysis to complex datasets and develop, evaluate, and continuously improve supervised and unsupervised machine learning models

* Develop agentic systems that interact with data sources and analytical tools

* Build AI-powered self-service analytics solutions to create tailored analyses, visualizations, and actionable insights for athletes, federations, media, and internal stakeholders

* Analyze and contextualize sports data to develop algorithms that compute key performance metrics

* Partner with engineering teams to ensure databases used for ML and AI applications are clean, structured, and validated with robust data quality checks

* Work closely with our technical and engineering teams to deploy, maintain, and monitor machine learning models in production

* Contribute to innovation by exploring new methodologies and proactively improving existing AI and ML systems

## Profile ##

* Strong analytical and conceptual thinking skills

* High affinity for machine learning, generative AI, 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

* Team player with the ability to collaborate effectively in interdisciplinary environments

* Curiosity and motivation to continuously learn and explore new technologies and methods

## Professional requirements ##

* Degree in Data Science, Computer Science, Engineering, Mathematics, or a related field

* Strong background in statistics and machine learning, including experience with supervised and unsupervised learning, and model evaluation.

* Experience with LLM-based applications or agentic systems

* Proficiency in Python; experience with SQL, C++, and C\# is a plus

* Experience with data visualization, scientific analysis workflows, and deploying models into production environments

* Solid understanding of scientific methodology, testing, and experimental validation

## Languages ##

* Good communication skills in English are required.

## Contact ##

Benjamin Adler

HR Business Partne

Job location

Rue de l'Envers 1

2606 Corgémont (Bern)

Switzerland

Company address

Swiss Timing LTD

Rue de l-Envers 1

P.O. box 138

CH-2606 Corgémont

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