Meteorological Scientist - Data Assimilation and NWP

Responsibilities:

• Evaluate and optimize the impact of WindBorne’s balloon observations across traditional and AI-based data assimilation.
• Work closely with the Machine Learning team to help advance AI-based data assimilation techniques that drive WindBorne’s WeatherMesh AI forecast system.
• Design visualizations and analyses that demonstrate the impact of WindBorne's in-situ observations on forecast quality for both scientific and business audiences.
• Refine and develop quality control algorithms for WindBorne's in-situ observations.
• Communicate technical findings to scientific, government, and business stakeholders.

Skills and Qualifications:

• Strong background in atmospheric sciences and weather analysis.
• Experience with data assimilation and numerical weather prediction, including familiarity with how observations improve forecast skill.
• Demonstrated ability to work with observational data including weather radar, weather satellite, surface and upper air observations.
• Experience using LLMs to implement code.
• Strong understanding of statistical methods, especially those used to validate observation quality and verify weather forecasts.
• Willingness to work across unfamiliar domains and learn new skills quickly.
• Master’s or Ph.D. in Atmospheric Sciences, Meteorology, or related field preferred.
• Scrappiness.

Additional Beneficial Skills:

• Experience developing data assimilation and NWP systems including GSI, JEDI, GFS/FV3 and MPAS.
• Scientific programming experience using Python, Fortran and/or C/C++.
• Experience with instrumentation used for collecting weather observations including instrument design, calibration and quality control.

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance
• Unlimited PTO
• Stock Option Plan
• Office food and beverages