Data Scientist II (Basketball/Hockey)
Core
Building metrics, models, and analyses on proprietary tracking and pose data for elite sports organizations (NHL/NBA) to support decision-making.
Role type
Senior IC data scientist (sports analytics)
Builds
Production metrics, event-probability models, and player evaluation tools for NHL and NBA clients
Domain
Sports analytics (Hockey/Basketball) using tracking and pose data
Deliverable
production ML models | product features
Required skills
Python or R, SQL, statistical modeling, feature engineering from high-dimensional spatiotemporal data, model validation, data structuring for downstream use
Preferred skills
Hockey analytics experience, pose/skeleton data familiarity, NBA front office experience, deep learning methods
Technologies
Python, R, SQL, Sportlogiq, Hawk-Eye
Responsibilities
Transform tracking/pose data into structured features and tables; develop and validate event-probability and athleticism models; build metrics for NHL/NBA clients; extract features from high-dimensional data; validate model outputs; communicate technical findings to product teams
Seniority
Senior, hands-on IC