Job description
Nimbus Weather Intelligence is seeking a Senior Meteorologist to lead advanced weather modeling, data assimilation, and forecast product development. This on-site role is based in Boulder, Colorado, with flexible hybrid options for highly capable candidates. You will collaborate with atmospheric scientists, data engineers, and product teams to deliver actionable forecasts for clients in aviation, energy, and emergency management. You will own model evaluation, contribute to forecast system upgrades, and mentor junior staff to accelerate our mission of turning weather science into practical decision support.
Responsibilities and opportunities include shaping model architectures, improving forecast skill assessments, and communicating complex results to clients and leadership. The role combines rigorous scientific analysis with real world impact, offering ample opportunities for leadership, publication, and professional growth.
Responsibility
- Lead the development and validation of numerical weather prediction models and ensemble forecasting systems.
- Oversee data assimilation workflows and quality control of observations from satellites, radars, radiosondes, and surface networks.
- Collaborate with software engineers and data scientists to deploy forecasting tools, dashboards, and APIs for clients.
- Conduct rigorous forecast verification, skill analysis, and calibration of model outputs.
- Prepare client-ready forecasts, briefings, and technical reports for aviation, energy, and emergency management sectors.
- Mentor junior meteorologists, provide training, and foster a culture of scientific excellence.
- Drive research initiatives to improve forecast accuracy and develop new products and features.
- Communicate complex meteorological concepts to non-technical stakeholders and leadership.
Qualification
- Master of Science or PhD in Meteorology, Atmospheric Science, or a closely related field; or a Master with significant experience.
- Minimum 5 years of experience in numerical weather prediction, data assimilation, and forecast verification.
- Proficiency in Python and MATLAB; experience with NWP systems such as WRF, ICON, or similar; and familiarity with ensemble forecasting frameworks.
- Strong understanding of data assimilation, observations from satellites, radar, radiosondes, and in-situ sensors.
- Excellent communication and presentation skills; ability to translate complex results for diverse audiences.
- Publications or demonstrated impact in weather forecasting or related fields is preferred.
- Eligibility to work in the United States; willingness to relocate to Boulder, CO.