Meteorologist and Data Scientist Developer
USD 91K-151K (estimate) Mid-level Full Time
Tasks
- Apply neural networks to numerical weather prediction
- Build AI data pipelines for ingestion and preprocessing
- Collaborate with NOAA scientists to transition tools to operations
- Create training materials for new tools and techniques
- Design and train machine learning models for severe weather precursors
- Develop forecast tools for hazardous weather
- Develop verification methods for forecast tools
- Develop web applications for forecaster tools
- Implement AI anomaly detection for real time forecast data
- Integrate AI and machine learning workflows for ensemble processing
- Use ensemble model output for probabilistic products
Perks/Benefits
- 401k matching
- Disability insurance
- Employee assistance program
- Employee referral program
- Flexible spending accounts
- Healthcare
- Life insurance
- Paid Holidays
- Paid time off
- Training reimbursement
- Tuition assistance
- Tuition reimbursement
Skills/Tech-stack
API | Anomaly Detection | Deep learning | Ensemble forecasting | GIS | JavaScript | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | PHP | PyTorch | Python | Scikit-learn | Series analysis | TensorFlow | Time Series | Time Series Analysis | Unix Shell
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Engineer | Meteorologist | Scientist | Software Engineer
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