Data Scientist II (Soccer)
Core
Develop statistical and machine learning models using player tracking and event data to identify undervalued players and characterize skills for professional soccer club recruitment.
Role type
Mid-level IC data scientist (sports analytics)
Builds
Production ML models and analytical tools for player recruitment
Domain
Sports analytics / Football (Soccer)
Deliverable
production ML models
Required skills
Python or R, SQL, statistical modeling, machine learning, sports tracking data analysis, model validation, technical communication
Preferred skills
soccer data experience, published research or public projects, cloud compute (AWS/GCP), AI coding tools
Technologies
Python, R, SQL, AWS, Google Cloud
Responsibilities
Develop spatio-temporal models to quantify player impact, build metrics for team decision-making, validate model outputs, write client-facing reports, partner with engineering for cloud deployment, review code and provide feedback
Seniority
Mid-level, hands-on IC