Also called: Climate Analytics Scientist
Uses big datasets and machine learning to understand climate risks, emissions, and solutions.
A climate data scientist builds models of flood risk for insurers, analyzes satellite data on methane leaks, or forecasts renewable energy output. They code daily in Python.
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 data science, physics, or atmospheric science; a master's or PhD is common.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Data Science, Atmospheric Science, Statistics.
Growing much faster than average (about 8% over 10 years). BLS 2025-35 projection band for SOC 15-2051: Much faster than average (7% or higher).
Medium risk for 10 years. AI writes code and runs analyses; framing questions and checking results stay human, with fewer junior roles.
Classes: AP Calculus, AP Statistics, Computer science, Physics.
Official data: O*NET occupation 15-2051.
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.