Backed by General Catalyst.
About the role
Develop statistical and machine learning models that help professional soccer clubs identify undervalued players and strong recruitment targets Use player tracking data to build spatio-temporal models that quantify player impact and skill
More about this role
We're hiring a Data Scientist II on our Soccer team to develop the statistical and machine learning models our partner clubs use for player recruitment. I'm Jacob Mortensen, Senior Manager, Data Science at Teamworks. Our team primarily focuses on building models using both player tracking data and event data to identify undervalued players and characterize the skills that make them effective. The work supports high-stakes recruitment decisions for professional clubs across global football.
The team is managing growing demand from partner clubs alongside model maintenance and new development. This hire will take ownership across the model lifecycle, from design and validation through deployment and improvement. That added capacity will help us move important initiatives forward while keeping our existing models accurate and reliable.
Develop statistical and machine learning models that help professional soccer clubs identify undervalued players and strong recruitment targets
Use player tracking data to build spatio-temporal models that quantify player impact and skill
Build metrics and analyses that soccer teams rely on to make decisions, and support client-facing work by building...
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