Job description
At Aurora Weather Solutions, we seek a Senior Meteorologist to lead high-impact forecasting projects and mentor a team of analysts. This on-site role in Seattle combines rigorous science with practical applications, delivering weather intelligence to clients and stakeholders. You will design and validate models, oversee data workflows, and translate complex atmospheric processes into clear guidance.
Join a collaborative environment that values curiosity, rigor, and communication. You will have opportunities to publish research, present at conferences, and influence product strategy in a fast-growing company.
Responsibility
- Lead development, evaluation, and deployment of numerical weather prediction models and forecasting tools.
- Ingest and quality-check observational data from satellites, radar, surface networks, and in-situ sensors.
- Translate model output into actionable guidance for operations, clients, and decision-makers.
- Design automated data pipelines, dashboards, and visualization tools for timely weather intelligence.
- Collaborate with software engineers to deploy forecasting capabilities in production systems.
- Mentor junior meteorologists; provide training on methodologies, coding practices, and communication.
- Prepare technical reports, white papers, and presentations for internal and external audiences.
- Stay current with meteorology research and contribute to product strategy and roadmap.
Qualification
- Master’s degree or PhD in meteorology, atmospheric science, or a closely related field.
- 5+ years of professional meteorology experience in forecasting, modeling, or climate analysis.
- Strong expertise with numerical weather prediction systems (WRF/ARW, GFS, ECMWF) and data assimilation concepts.
- Proficiency in Python and/or R for data analysis, with experience in Jupyter notebooks and version control.
- Experience with data visualization and communication tools; ability to present complex results clearly.
- Experience handling large meteorological datasets and performing QC, quality control, and QC procedures.
- Excellent written and verbal communication; ability to explain technical concepts to non-technical audiences.
- Collaborative, self-motivated, and able to work effectively in a hybrid/onsite environment.