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
• Refined and develop quality control algorithms for WindBorne's in-situ observations
• Communicate technical findings to scientific, government, and business stakeholders

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
• Master’s or Ph.D. in Atmospheric Sciences, Meteorology, or related field preferred
• Willingness to work across unfamiliar domains and learn new skills quickly

Skills

• 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

Additional Beneficial Skills

• Experience developing data assimilation and NWP systems including GSI, JEDI, GFS/FV3 and MPAS

Pay

$110,000 - $150,000

Schedule

In-person Preferred