Fullstack Developer (JavaScript/Node.js + Python)
- Praha
- Trvalý pracovní poměr
- Plný úvazek
- Develop and maintain internal tooling for sports data annotation and correction.
- Implement features for editing data from scouting and CV models (e.g. player trajectory outside camera frame).
- Support real-time and post-match correction of data (e.g. incorrect player recognition).
- Add dynamic visual elements to video streams (e.g. overlays with player information).
- Collaborate with analysts and ML engineers to build robust, efficient solutions.
- Solid experience in fullstack development, with a focus on backend (Node.js).
- Proficient in React and modern JavaScript frameworks.
- Comfortable working with Python or motivated to learn more in this area.
- Understanding of basic concepts in Machine Learning or Computer Vision outputs is a great advantage.
- Additional tools knowledge is beneficial: REST APIs, Git, CI/CD pipelines, data structure management.
- Opportunity to work on technically complex, real-world problems with direct impact on sports analytics.
- Work on a modern, interactive platform with real-time sports data and visualizations.
- Extra vacation days, with more added as your tenure grows.
- Mental health days - Company-wide days off to reset and recharge.
- Hybrid work flexibility - Because productivity isn't tied to a desk.
- Career & learning support - Access to Udemy, O'Reilly, and other learning platforms to keep your skills sharp.
At Stats Perform, diversity drives innovation. We are committed to building an inclusive, welcoming workplace where everyone is valued and respected. Our DEI goals are at the heart of our culture, ensuring we better serve our clients and communities.