Job description
Join Aurora Weather Labs, a leading meteorology firm focused on advanced weather forecasting, climate analysis, and data-driven insights. We are seeking a Senior Meteorologist to lead forecasting initiatives, develop innovative models, and guide a team of talented forecasters.
In this role you will collaborate with researchers, data scientists, and operations staff to deliver accurate, actionable weather information for clients, government agencies, and the public. You will shape forecasting products, ensure high-quality outputs, and help translate complex model results into clear guidance.
We offer a supportive, innovation-driven environment, competitive compensation, and opportunities for professional growth in a market-leading organization.
Responsibility
- Lead the design, development, and operational deployment of numerical weather prediction products and nowcasting tools.
- Analyze observational data from radar, satellite, surface networks, and weather stations to improve model initialization and verification.
- Produce short-term forecasts (nowcasting) and medium-range guidance for diverse stakeholders.
- Develop and validate new forecasting algorithms, including machine learning approaches where appropriate.
- Coordinate with researchers to implement model upgrades and performance enhancements.
- Communicate forecast products and uncertainty clearly to clients, public agencies, and media teams.
- Mentor and supervise junior forecasters, ensuring rigorous QA/QC of outputs and documentation.
Qualification
- MS or PhD in Meteorology, Atmospheric Science, or a closely related field; relevant professional experience may substitute.
- 5+ years of hands-on forecasting experience in operational, research, or academic environments.
- Proficiency in Python and MATLAB; experience with NWP models (WRF/ICON), GRIB, and data visualization tools.
- Strong experience with GIS, data management, and large observational datasets; familiarity with AWS or cloud computing is a plus.
- Excellent communication skills; ability to convey complex meteorological concepts to non-technical audiences.
- Proven ability to lead projects, manage priorities, and collaborate across multidisciplinary teams.
- Publications, conference presentations, or notable portfolio of forecasting-related projects.