- Remote
- Remote
Compensation
Competitive and based on experience
Responsibilities
- Analyze atmospheric and environmental data from radar, satellites, surface observations, soundings, and numerical weather prediction models.
- Develop and evaluate methods, algorithms, and tools for forecasting, nowcasting, and severe‑weather analysis.
- Use Python and other scientific programming languages to process, visualize, and interpret large datasets.
- Apply statistical methods and machine learning to improve forecasts, diagnostics, and decision‑support capabilities.
- Support model evaluation, validation, and verification using observational data.
Requirements
- Bachelor’s degree in meteorology, atmospheric science, or a closely related field
- Master’s degree or Ph.D. preferred
- Nice to have: Graduate‑level education or equivalent applied research experience in atmospheric science or meteorology
- Nice to have: Experience with machine learning, statistical analysis, or scientific algorithm development
- Nice to have: Familiarity with tools such as xarray, NumPy, pandas, scikit‑learn, PyTorch, ArcGIS, or QGIS