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Benefits:

Opportunity for advancement
Training & development
401(k)
401(k) matching
Bonus based on performance
Competitive salary
Flexible schedule

PEMDAS® Technologies & Innovations is seeking an Atmospheric Scientist to support applied research and development across weather analysis, forecasting, remote sensing, and decision-support tools. The ideal candidate combines strong scientific knowledge with programming and data-analysis skills, and can turn complex atmospheric data into practical insights for operational users.

What You’ll Do

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.
Collaborate with scientists, engineers, and operational partners on applied research and research-to-operations efforts.
Present findings through technical reports, briefings, and clear documentation for both technical and nontechnical audiences.
Contribute to project planning and deliver high-quality work on schedule.

Required Qualifications

Bachelor’s degree in meteorology, atmospheric science, or a closely related field; a master’s degree or Ph.D. is preferred.
Experience analyzing atmospheric data and interpreting weather systems.
Proficiency in Python or another scientific programming language.
Experience with numerical weather prediction, remote sensing, radar, satellite, or observational datasets.
Strong written and verbal communication skills.
Ability to work independently and collaboratively in a remote, multidisciplinary team.

Preferred Qualifications

Graduate-level education or equivalent applied research experience in atmospheric science or meteorology.
Experience with machine learning, statistical analysis, or scientific algorithm development.
Familiarity with tools such as xarray, NumPy, pandas, scikit-learn, PyTorch, ArcGIS, or QGIS.
Experience with Linux, cloud-based data, high-performance computing, or operational forecasting environments.
Peer-reviewed publications, conference presentations, or experience translating research into operational applications.

Work arrangement: Remote
Compensation: Competitive and based on experience

This is a remote position.

BLUE STORM ASSOCIATES INC

Employees 11-50 employees Industry IT Services and IT Consulting

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