Also called: Quality Statistician, Reliability Statistician
Uses statistics to improve factory quality and predict how long products will last.
You design experiments to find which oven settings make the fewest bad chips, and analyze test data to predict how many years a car battery will survive. Engineers come to you before making big changes.
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 statistics or industrial engineering.
Ways in: 4-year college, Graduate school. Training cost: $60k – $150k.
Majors to look at: Statistics, Industrial Engineering.
Growing much faster than average (about 8% over 10 years). Statisticians overall.
Medium risk for 10 years. AI analyzes factory data automatically; designing experiments with engineers on the floor stays human.
Classes: AP Statistics, AP Calculus, Physics.
Official data: O*NET occupation 15-2041.
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.