Also called: Fish Population Modeler, Quantitative Fisheries Scientist
Uses math and computer models to estimate how many fish are in the ocean and how many can safely be caught.
Builds population models of Alaska pollock from survey and catch data, presents results to fishery councils, and helps set catch limits worth hundreds of millions of dollars.
Estimate; NOAA and university positions.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Doctorate (PhD), about 10 years after high school. PhD in fisheries science, quantitative ecology, or statistics.
Ways in: Graduate school. Training cost: $15k – $60k.
Majors to look at: Fisheries Science, Statistics, Mathematics, Ecology.
Growing about average. Strong demand for quantitative skills.
Medium risk for 10 years. AI speeds up population models and data cleaning, so fewer analysts are needed; scientists still own assumptions and advice.
Classes: AP Calculus, AP Statistics, AP Biology, Computer science.
Official data: O*NET occupation 19-1023.
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.