Data Scientist - (Computer Vision)

Contract: Full-Time, Permanent

Desired Start Date: March/April

Location: Both hybrid and remote opportunities with travel for business/project needs

About STATSports:

What if the product you helped to build next week was worn by an elite athlete the week after?

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.

The opportunity:

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 

What We Are Looking For:

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 

What's In It for You:

A hands-on role where your work directly influences products used in elite sport 

The opportunity to work with cutting-edge datasets and develop innovative ML/AI solutions 

Exposure to the full software lifecycle, from data ingestion to deployment in production 

Collaboration with engineers, product owners, and data specialists in a supportive, high-performance team 

The chance to see your work applied to real-world athlete performance and decision-making 

Equal opportunity employer:

STATSports is an equal opportunity employer. If you feel you would be a great addition to the team and are excited by the prospect of forging an impactful career with us, we would love to hear from you. We would particularly welcome applications from women and underrepresented groups.  
 
No one wins unless everyone wins!  
 
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!