Data Scientist / Senior Data Scientist — Sports Modeling & Live Betting
Core
Designing and deploying real-time probabilistic models for live sports betting markets across football, basketball, baseball, soccer, and hockey.
Role type
Senior IC data scientist (sports modeling & live betting)
Builds
Live betting markets, odds, and pricing logic for in-game events
Domain
Sports betting, real-time data systems, quantitative modeling
Deliverable
production ML models
Required skills
Applied data science, machine learning, Python (pandas, NumPy, scikit-learn, XGBoost), probability & statistics, regression, classification, calibration, simulation, model evaluation, messy real-world data handling, production code reasoning, business impact modeling, sports domain knowledge
Preferred skills
Sports betting/odds modeling experience, live sports data/play-by-play expertise, real-time system workflows, team leadership
Technologies
Python, pandas, NumPy, scikit-learn, XGBoost
Responsibilities
Design targets, features, and model structures for live betting markets; ensure data quality and label correctness; calibrate models and handle edge cases; collaborate with engineering and trading to define production logic; measure post-launch commercial performance
Seniority
Senior, hands-on IC
