Meteorological Data Scientist
Core
Develop data visualizations, statistical analyses, and product prototypes to maximize meteorological data for customer use cases; validate AI weather models and products.
Role type
Meteorological Data Scientist (Product & Validation)
Builds
Product prototypes, validated AI weather models, and customer-focused use cases for Tomorrow.io meteorological data.
Domain
Meteorology, Geospatial Data, AI/ML
Deliverable
product features
Required skills
Python, Data processing (Pandas, NumPy, xarray), Data visualization (CartoPy, MetPy), Statistical analysis, Cloud compute, Meteorological data formats (NetCDF, GRIB, Zarr, GeoJSON, METAR, TAF), Data architecture and pipelines, AI-assisted development tools, AI-assisted communication tools.
Preferred skills
None stated.
Technologies
Python, Pandas, NumPy, xarray, CartoPy, MetPy, NetCDF, GRIB, Zarr, GeoJSON, METAR, TAF, Cloud compute, AI tools (ChatGPT, Copilot, Gemini).
Responsibilities
Develop data visualizations and statistical analyses; Perform validations of AI weather models and products; Partner with cross-functional teams to troubleshoot model performance; Work with scientists and customers on proprietary satellite data use cases.
Seniority
Mid-level (3+ years experience)
