P3P3 — Mid-Level Professional
Earth & Atmospheric Sciences Climate Scientist
Studies the Earth's climate system to understand historical patterns, current changes, and future projections of climate.
What this level means
Fully competent professional; works independently on standard projects
- Scope
- Features or a sub-system end-to-end
- Autonomy
- Works independently on standard work; reviewed on the non-standard
- Complexity
- Diverse problems; adapts existing approaches
- Impact
- Project / team outcomes
- Decision rights
- Owns implementation decisions for own scope
- Leadership
- Mentors juniors informally
- Typical experience
- 3–5 yrs
What you'd do
- Analyze and interpret large datasets
- Develop and use climate models
- Research factors driving climate variability
- Provide scientific information to policymakers
- Publish reports and peer-reviewed papers
- Collaborate with interdisciplinary teams
- Present findings at scientific conferences
- Contribute to grant writing and funding proposals
- Collect and analyze meteorological data
- Use numerical weather prediction models
- Issue weather forecasts and warnings
- Research atmospheric phenomena
- Improve weather prediction models
- Engage with public and media for weather updates
- Contribute to emergency response planning
- Participate in international meteorological collaborations
- Collect and manage large datasets
- Analyze environmental datasets
- Develop statistical models
- Visualize data and modeling results
- Collaborate with environmental experts
- Automate data processing pipelines
- Contribute to open-source data projects
- Present data-driven insights to stakeholders
- Conduct climate research
- Develop climate models
- Publish scientific papers
- Analyze meteorological data
- Develop weather models
- Issue forecasts
- Analyze environmental data
- Develop statistical models
- Collaborate with experts
Skills, knowledge & tools
- Advanced data analysis
- Climate model development
- Scientific communication
- Policy advising
- Research methodology
- Numerical modeling
- Meteorological data analysis
- Forecasting techniques
- Public speaking
- Technical proficiency with meteorological software
- Programming for data analysis
- Statistical modeling
- Machine learning techniques
- Data Visualization Tools
- Collaboration with scientists
- Climate systems
- Statistical analysis
- Environmental policy
- Scientific research methods
- Data interpretation
- Atmospheric sciences
- Weather systems
- Data collection techniques
- Forecasting models
- Communication strategies
- Data science methodologies
- Environmental datasets
- Machine learning algorithms
- Data management practices
- Climate modeling
- Data analysis
- Research and communication
- Interdisciplinary collaboration
- Scientific writing
- Weather forecasting
- Research
- Public communication
- Model development
- Machine Learning
- Environmental science
- Data Visualization
- Collaboration
What good looks like
- Ph.D. in Climatology or related discipline
- Strong background in mathematics, physics, and computer science
- Experience with climate model software
- Master’s degree in Meteorology or related field
- Strong foundation in physics, mathematics, and computer science
- Technical proficiency with meteorological software
- Master’s or Ph.D. in Data Science or related field
- Proficiency in programming for data analysis
- Strong understanding of statistical analysis and machine learning
Common titles
Climate Science IIIClimate Science 3Mid-Level Climate ScienceMeteorology IIIMeteorology 3Mid-Level MeteorologyData Science IIIData Science 3Mid-Level Data ScienceEarth & Atmospheric Sciences Climate ScientistScientistEarth & Atmospheric Sciences Atmospheric ScientistEarth & Atmospheric Sciences Environmental Data Scientist
What it pays
Market-pay benchmarks for this family × level are being recalibrated across all survey sources and will return shortly.