Sportsjobs online

🚀 Jobs metric: 221 new jobs in the last two weeks!! 🚀

New  jobs is Sports

Data science, Analytics and software jobs in sports analytics. As always, the most complete site to get all the relevant opportunities in one place!

This edition brings you the usual recent job openings, but also a great open-source resource to sharpen your applied sports analytics skills. We’re highlighting the roboflow/sports repository, a hands-on computer vision toolkit designed specifically for sports use cases like player detection, ball tracking, jersey number recognition, and pitch/court keypoint detection.

Jobs for you:

These were some of the uploaded in the last 2 days only! I’m seeing a rise in the amount of jobs across sports. More teams jumping in!

Roboflow/Sports repository, a comprehensive toolkit for sports analytics using computer vision and machine learning

If you're interested in applying computer vision to sports analytics, the roboflow/sports open-source repository is a great resource to explore.

It provides ready-to-use tools, notebooks, and example workflows for tasks like player detection, ball tracking, jersey number recognition, and keypoint detection for courts and pitches. With these building blocks, you can start extracting structured data directly from match footage: tracking player movement, measuring distances and speeds, maintaining player identity across frames, or analyzing tactical positioning.

The repository includes practical demos and Jupyter notebooks to help you get started quickly, along with datasets for sports like soccer and basketball. You can experiment locally, adapt the inference scripts to process full games, and prototype your own analytics pipelines: from automated event tagging to tactical visualizations and highlight generation.

If you're looking to strengthen your applied AI skills in sports, this is a hands-on way to move from theory to real match data. Open source, practical, and highly extensible.

A quick look of things that you could do!

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