Data Scientist designing and delivering analytical models for casualty catastrophe risks in Boston or Jersey City.
About the role
- Data Scientist specializing in computer vision and multi-object tracking at STATSports. Leading development of tracking systems and collaborating with sports scientists and engineers.
Responsibilities
- 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
Requirements
- 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
Benefits
- 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
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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JJ
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