Also called: League Schedule Optimizer
Uses math and optimization software to build season schedules for pro and college leagues.
You feed thousands of rules into an optimizer: no team plays three road games in a row, stadiums are free on these dates, TV wants rivalry games on Sunday night. Then you run millions of combinations to find the best schedule.
A handful of leagues and consulting firms employ these specialists.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Master's in operations research or math.
Ways in: 4-year college, Graduate school. Training cost: $60k – $150k.
Majors to look at: Operations Research, Mathematics, Industrial Engineering.
Growing much faster than average (about 21% over 10 years). Operations research analysts overall.
Medium risk in 5 years, high in 10. AI optimizers now build schedules from rules with little human input; this tiny field shrinks further.
Classes: AP Statistics, AP Computer Science, AP Calculus.
Official data: O*NET occupation 15-2031.
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.