Also called: Statistical Privacy Specialist, Differential Privacy Scientist
Adds carefully measured "noise" to census and survey data so nobody can figure out facts about one real person, while totals stay useful.
You test whether a clever attacker could match published census tables to voter lists and identify real people. Then you tune a privacy algorithm that slightly blurs small numbers. You argue, politely, with mapmakers who want more precision for tiny towns and explain why that would put people at risk.
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, math or computer science.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Statistics, Mathematics, Computer Science.
Growing faster than average. Rising as data privacy laws and attacks grow.
Low risk in 5 years, medium in 10. AI makes re-identification attacks easier, which grows demand; tuning privacy math and defending trade-offs stays human.
Classes: AP Statistics, AP Calculus, AP Computer Science.
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.