Job description
Join the Pacific Northwest Weather Institute (PNWI), a premier center for weather science and applied meteorology. We are seeking a Senior Meteorologist to lead forecast analytics, model development, and climate analytics that support our governmental and commercial clients.
In this role, you will collaborate with a multidisciplinary team to translate complex atmospheric data into actionable insights, deliver high-quality forecast products, and contribute to research that advances understanding of regional weather patterns. You will mentor junior staff, drive methodological enhancements, and communicate technical findings to diverse stakeholders.
We offer a dynamic, inclusive work environment, competitive compensation, flexible hybrid options, and ample opportunities for professional growth and impact in the field of meteorology.
Responsibility
- Lead the development, validation, and operational deployment of forecast models and ensemble techniques to improve regional accuracy.
- Analyze large meteorological datasets (radar, satellite, model output, observations) to derive insights for operations and decision-makers.
- Collaborate with data science, IT, and field operations to implement robust weather analytics solutions and dashboards.
- Design and conduct experiments to evaluate model physics, parameterizations, and data assimilation approaches.
- Produce clear, actionable forecast products and technical reports for stakeholders with emphasis on clarity and impact.
- Mentor and train junior meteorologists and analysts; contribute to methodological publications and internal knowledge sharing.
- Ensure data quality, reproducibility, and documentation of models, workflows, and analyses.
Qualification
- Master’s degree (or PhD preferred) in meteorology, atmospheric science, or a closely related field.
- 3–5+ years of experience in numerical weather prediction, weather modeling, or climate analytics.
- Proficiency in Python (NumPy, SciPy, Pandas) and experience with MATLAB or R.
- Strong data visualization skills and ability to communicate complex results to non-technical stakeholders.
- Experience with Linux/Unix, Git, and cloud platforms (AWS or GCP).
- Familiarity with meteorological data formats (NetCDF, GRIB, BUFR) and datasets (radar, satellite, model output).
- Excellent written and verbal communication, collaboration, and project management abilities.