Also called: Logistics Data Scientist, Operations Research Analyst (Supply Chain)
Builds math and AI models that predict demand, set inventory, and route shipments efficiently.
You write Python code to forecast how many umbrellas every store will sell next week, or build an optimization model to cut trucking miles by 8%. Then you explain results to managers who don't speak math.
Based on BLS operations research analysts and data scientists.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Bachelor's in math, statistics, computer science, or industrial engineering; many have master's degrees.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Operations Research, Data Science, Industrial Engineering, Statistics.
Growing much faster than average (about 21% over 10 years). Operations research analysts and data scientists are among the fastest-growing jobs.
Medium risk for 10 years. AI writes much model code and runs forecasts; framing business problems and checking results stay human, with fewer junior roles.
Classes: AP Calculus, AP Statistics, Computer science.
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.