Also called: A/B Testing Scientist, Causal Inference Scientist
Runs controlled experiments to measure what really works, like whether a new app feature helps users.
You design an experiment that shows half of users a new checkout page, analyze the results, and catch statistical traps that could fool the company.
Common at tech companies.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Master's or PhD in statistics, economics, or data science.
Ways in: 4-year college, Graduate school. Training cost: $60k – $150k.
Majors to look at: Statistics, Economics, Data Science.
Growing much faster than average (about 34% over 10 years). Growth is for data scientists overall.
Medium risk in 5 years, high in 10. Experiment platforms now design, analyze and flag A/B tests automatically; fewer specialists per company.
Classes: AP Statistics, AP Computer Science, AP Microeconomics.
Official data: O*NET occupation 15-2051.
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