Job description
Join Aurora Weather Labs, a premier meteorology research and forecasting organization delivering weather intelligence to industries nationwide. We are seeking a seasoned Meteorologist to lead forecasting initiatives, analyze observational data, and translate insights into actionable advisories for clients and internal teams. The ideal candidate combines strong analytical skills with practical communication and a passion for advancing weather prediction technology.
As part of our forecasts team, you will work alongside researchers, data scientists, and operations staff to advance modeling capabilities, implement robust QC processes, and contribute to innovative weather solutions.
Responsibility
- Lead the production of regional forecasts and hazard forecasts for assigned domains, ensuring accuracy, timeliness, and clear communication.
- Develop and implement numerical weather prediction workflows, ensemble methods, and model verification protocols.
- Analyze radar, satellite, surface observations, and model outputs to diagnose forecast challenges and improve skill.
- Collaborate with data scientists and IT to deploy forecasting tools, dashboards, and automated alert systems for clients and internal teams.
- Translate meteorological insights into client-ready advisories, briefings, and risk assessments.
- Maintain and improve forecast verification metrics, QC processes, and documentation standards.
- Contribute to applied research on climate variability and extreme weather events; publish findings internally.
Qualification
- Master’s degree in meteorology, atmospheric science, or closely related field; PhD preferred.
- 3+ years of professional forecasting experience or equivalent.
- Proficiency in Python, MATLAB, R; experience with data visualization tools is a plus.
- Experience with WRF/WRF-ARW, NAM, GFS, or other major models; knowledge of data assimilation beneficial.
- Strong communication skills; ability to present complex concepts to non-technical audiences.
- Familiarity with meteorological observation networks, radar, satellite data, and QC/verification methodologies.
- Ability to work in a fast-paced environment, adapt to shift coverage, and collaborate across teams.