Also called: Quantitative Analyst (sports), Baseball Research Analyst
Builds statistical models and machine learning tools to evaluate players and predict outcomes.
They might model a pitcher's injury risk from biomechanics data or predict which college players will succeed in the pros. Much of the day is coding in Python or R. Teams, leagues, media, and betting companies hire them.
Based on BLS data scientists (May 2024 median about $112k); team jobs sometimes pay less than tech because demand to work in sports is high.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Bachelor's or master's in statistics, data science, or computer science.
Ways in: 4-year college, Graduate school, Self-taught. Training cost: $15k – $60k.
Majors to look at: Statistics, Data Science, Computer Science, Mathematics.
Growing much faster than average (about 34% over 10 years). Much-faster-than-average growth for data scientists.
Medium risk for 10 years. AI coding tools write much of the analysis code; modeling judgment and knowing the sport stay valuable.
Classes: AP Statistics, AP Computer Science A, AP Calculus.
Official data: O*NET occupation 15-2051.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.