Climate scientists research atmospheric, oceanic, and terrestrial systems to understand long-term weather patterns, climate change drivers, and their impacts on ecosystems and human society. They analyze historical climate data, build computer models to simulate future scenarios, and study phenomena like global warming, sea level rise, extreme weather events, and shifting precipitation patterns. Their work draws on physics, chemistry, oceanography, and data science to produce findings that inform environmental policy, disaster preparedness, and sustainability planning.
| Entry level | $52,000 |
| Median | $95,000 |
| Senior | $130,000 |
| Top 10% | $165,000 |
| Job growth | +6% |
| Professionals in the USA | 0.1 million |
| Typical hours/week | 42 hrs |
| Remote work share | 25% |
| Annual job openings | 8,300/yr |
| Demand | High |
AI is transforming climate science by accelerating data processing, model simulations, and pattern detection in massive datasets. However, the field still requires human judgment for interpreting complex Earth systems, designing experiments, and translating findings into policy recommendations.
Automation exposure: Routine data cleaning, running standard climate model simulations, literature reviews, and basic statistical analysis can increasingly be automated using AI tools.
The human edge: Scientific creativity in hypothesis generation, interdisciplinary synthesis of physical/chemical/biological systems, ethical judgment in policy communication, and building trust with stakeholders and communities cannot be replicated by AI.
Figures are estimates for exploration — verify current data with BLS.gov.