BS
Atmospheric Scientist
- Hiring from
- United States
- Work type
- Remote
- Posted
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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
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
Compensation: Competitive and based on experience
This is a remote position.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
THE PEMDAS STORY
In 2008, Mary Lockhart, President and CEO of PEMDAS Technologies & Innovations, first identified the need for the Department of Defense, the Intelligence Community, civilian emergency response authorities, and the private sector to integrate Environmental Intelligence (EI) into their most critical activities. She gathered a team of dedicated Subject Matter Experts to ensure PEMDAS client needs were met. Since then, PEMDAS has delivered on that vision, providing clients with unique services and insights to help them succeed.
OUR EXPERTISE
PEMDAS’ team of nationally recognized experts and highly skilled engineers – all of whom have a proven record of exceeding objectives – brings expertise to solve complex problems for our clients by using innovative approaches, strategic planning, the application of proven systems engineering methodologies, and effective communication.
PEMDAS management includes senior leaders from the military, atmospheric science, systems engineering, risk assessment, lifecycle product development, and high-end engineering services.
Our expertise crosses disciplines and application systems:
- High spatial and temporal resolution rapid updating environmental intelligence forecasts
- Real-time environmental alerts and warnings
- Assimilation of disparate data sources into environmental prediction system
- Tailored applications for unique missions utilizing environmental hazard data
- EI decision support products in four dimensions (3D + time)
- OGC compliant web-service delivered data
- “Big Data” analytics
- Artificial Intelligence (AI) / Machine Learning (ML)
