Job description
Join Aurora Weather Labs, a premier meteorology and atmospheric science company, as a Senior Meteorologist. This role focuses on advanced weather modelling, data assimilation, and production of reliable weather products for clients across sectors including aviation, agriculture, and energy. You will collaborate with researchers, software engineers, and meteorologists to deliver actionable insights and innovative forecasting solutions.
We seek a data-driven scientist who can blend atmospheric science with software development to drive impact. Ideal candidates bring deep knowledge of numerical weather prediction, statistics, and modern data pipelines.
Responsibility
- Lead the development and execution of advanced weather forecasting models and data assimilation workflows.
- Design and implement robust data pipelines for observational and forecast data (satellites, radars, surface observations).
- Translate scientific findings into actionable weather products and client-facing dashboards.
- Collaborate with software engineers to productionize models and ensure scalable, reliable deployments.
- Perform rigorous model evaluation, verification, and uncertainty quantification.
- Provide mentorship and technical guidance to junior meteorologists and data scientists.
- Communicate meteorological insights to non-technical stakeholders with clarity and impact.
- Contribute to research proposals and publish results as appropriate.
Qualification
- Master's or PhD in Meteorology, Atmospheric Science, or related field.
- 5+ years of experience in numerical weather prediction, data assimilation, or weather data science.
- Strong proficiency in Python; experience with R, MATLAB, or Fortran is a plus.
- Experience with weather data standards (NetCDF, GRIB), GIS tools, and data visualization.
- Hands-on experience with cloud platforms (AWS, GCP) and scalable data pipelines.
- Proven ability to communicate technical concepts to non-technical audiences.
- Strong problem-solving, project management, and collaboration skills.
- Publication record or demonstrated research impact is preferred.