Quantitative Meteorologist

Tasks

• Analyze meteorological data
• Automate forecasting and nowcasting workflows
• Build evaluation and decision support tools
• Build feedback loops between operations research and model development
• Collaborate on hybrid physical statistical and learning models
• Combine multi source observations with NWP
• Create technical analyses for proposals and program design
• Define ground truth baselines and metrics
• Design observational studies and experiments
• Develop cloud seeding scoring methods
• Estimate uncertainty bounds
• Translate meteorological concepts into ML features and labels

Perks/Benefits

• 401k employer matching
• Dental insurance
• Free EV charging
• Health insurance
• Lunch provided
• Paid parental leave
• Paid time off
• Relocation assistance
• Stock options
• Unlimited PTO
• Vision insurance

Skills/Tech-stack

Bayesian Methods | Causal Inference | Data Assimilation | ECMWF | Ensemble forecasting | Experimental Design | Forecast verification | GFS | GRIB | HRRR | Machine Learning | NetCDF | NumPy | Numerical Weather Prediction | Operational Forecast Verification | Pandas | Python | Quantitative Precipitation Estimation | Radar | Radar meteorology | Remote Sensing | Satellite | Satellite remote sensing | SciPy | Series analysis | Spatial Statistics | Time Series | Time Series Analysis | Uncertainty Quantification | WRF | Weather Prediction | Xarray