Quantitative Data Scientist

About the role

Build and maintain features and predictive probability models using sports event, player-tracking, and market data, then evaluate their performance against live prices and closing lines. Work with engineering to deploy successful models into low-latency production systems, monitor performance, analyze market behavior, and support market-facing clients. Requires at least two years of professional experience in quantitative research, trading, or data science, strong statistical and probability foundations, and proficiency in Python and SQL. Candidates should have hands-on modeling and backtesting experience, a relevant bachelor's degree, clear communication skills, and availability for some live games on nights and weekends.