Research Scientist III, Step 2

Duties / Responsibilities

• Prepare and curate validation datasets to support the development and assessment of AI and machine learning models.
• Evaluate model performance using appropriate statistical and computational methodologies.
• Conduct integration testing to ensure models operate effectively within research and operational systems.
• Identify and define new use cases for AI applications across Earth science domains.
• Develop and implement software solutions across multiple projects in both research and operational contexts.

Minimum Requirements

• Master’s degree in Atmospheric Science, Earth Science, Remote Sensing, or a related field; or equivalent combination of education and relevant experience.
• 2.5–3 years of full-time, verifiable professional experience.
• Extensive experience working with geospatial datasets and associated technologies.
• Hands-on experience with numerical modeling for Earth science applications.
• Demonstrated record of peer-reviewed publications.
• Strong programming background (e.g., Python, C/C++, or similar scientific computing languages).
• Excellent written and verbal communication skills.
• Demonstrated ability to reason through complex, interdisciplinary problems, including those outside one’s primary area of expertise.

Desired Qualifications

• Ph.D. in Atmospheric Science, Earth Science, Remote Sensing, or a related field; or equivalent experience.
• Experience with proposal development and grant writing.
• Familiarity with AI/ML model development, evaluation, and deployment in scientific or operational environments.
• Published