About this role
Geospatial Data Scientist at Neural Earth. Location: United States. Role: designing models, building pipelines, translating science Requirements: Master's or PhD in a relevant field, 3+ years working with atmospheric/geospatial data and numerical weather prediction; Python and geospatial/ML tool proficiency; ability to build and validate production-grade models and lead scientific capability. Category: Research and Development (R&D) Seniority: Mid Level Tools: Python, GeoPandas, Rasterio, GDAL, xarray, Shapely, PyTorch, TensorFlow, scikit-learn, GeoTIFF, COG, GeoParquet, NetCDF, WRF, ECMWF Commitment: Full Time Workplace: Remote Languages: English