Playermaker is an award-winning sports technology company. Transforms footwear into smartwear, driving athletes forward with sport specific data. Developers of the #1 wearable device for football. Playermaker tracks, analyses and visually presents key technical, tactical and physical player performance and is validated by more than 180 elite teams and academies around the world.
Based in Tel-Aviv, UK and US, hyper-growth startup with amazing work atmosphere, looking for sports passionate talents
Our innovation team develops unique machine learning and signal processing algorithms which turn inertial motion data into priceless insights for both coaches and players.
We're looking for a data scientist to join the team.
Responsibilities include:
- Research and development of unique metrics to evaluate athlete performance
- Maintaining and developing algorithms for detection and classification of interesting events over raw motion sensor data
- Defining data gathering requirements for the Algo operations team
- Processing, cleansing, and verifying the integrity of data used for analysis
- Implementing and testing the algorithms as part of the operational server code
- Doing ad-hoc analysis and presenting results in a clear manner
- Looking for opportunities to generate insights from long term data analysis
- Keeping up-to-date with the latest relevant ML technology trends
- Contributing to academic research projects and patent applications
Job requirements:
- M.Sc./Ph.D. in Physics / Electrical Engineering / Mechanical Engineering or similar
- At least 3 years of algorithm development
- Experience with learning algorithm development, knowledge with one of the leading ML frameworks
- Passionate about sports (we treat equally fans of all teams)
Advantages:
- Experience with signal processing
- Experience with motion data and inertial measurement units
- Knowledge in the robotics field (main experience with body orientation and translation)
- Knowledge in the Bio-mechanics
lease send CV's to : careers@playermaker.com