Data Scientist - (Computer Vision)

We are expanding our data science team to include a dedicated computer vision capability. This role is ideal for a candidate who has delivered temporal multi-object tracking and detection systems and understands the full lifecycle from development through to production. You will lead the technical direction of this work, define what we build and how, and play a key role in shaping a growing computer vision team around you.

What You Will Be Doing :

• Leading the development of multi-object tracking and detection systems from video across multiple sports

• Defining event taxonomies and annotation strategies for sports-specific training data

• Building and deploying tracking pipelines, including handling occlusion, re-identification, and camera calibration

• Designing the output data structures and formats that integrate with our existing GPS and IMU products

• Collaborating with sports scientists, product owners, and software engineers to translate performance requirements into technical solutions

• Production experience in computer vision, with a focus on multi-object tracking and detection. Experience in sport is a strong bonus

• Deep understanding of temporal reasoning across video sequences, including re-identification, track association, and handling occlusion

• Experience with video-native Computer Vision pipelines

• Understanding of camera geometry, pitch or court calibration, and object localisation from single or broadcast cameras

• Proficiency in Python and deep learning frameworks

• Experience with cloud platforms

• Strong communication skills: you will work closely with non-technical stakeholders including coaches and sports scientists

Nice to Have (But Not Essential):

• Computer vision experience in sports

• Familiarity with how tracking and event data is structured and consumed by clubs, analysts, and performance staff

• Background in biomechanics, pose estimation, or signal processing from IMU/GPS sensors

• MLOps experience: model versioning, monitoring, and CI/CD for CV pipelines

At STATSports, that could be your reality. Since 2007, we've grown from a small Irish start-up into the global leader in GPS performance tracking, trusted by the world's biggest clubs, leagues, and athletes. Our technology sits at the intersection of hardware, software, and sport, helping teams optimise performance, reduce injury risk, and unlock insights that were previously impossible. But just as importantly, our products support the next generation of athletes, from academies to grassroots, giving them access to the same performance tools as the pros. Innovation has always driven us forward, and it's our people who make that happen., We believe that diverse teams have the greatest impact, so we really care about creating a diverse and inclusive environment. At STATSports, no one wins unless everyone wins, so we're focused on creating a team where everyone feels they belong. We welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. If you do, you'll be joining an environment where everyone has an equal opportunity to share their opinion, showcase their skills, develop their career and be part of a caring and inclusive team. Why STATSports: We're still a small business that happens to be the world leader in our field, which means you can be a part of something big. Working at STATSports, you'll have a real impact and see directly how the day-to-day work you do makes a difference in sport at the elite level. You'll collaborate with a world-class team and be given the freedom to innovate, create and deliver at the highest level. If this excited you, then we would love to hear from you!