Geospatial Data Scientist Lead
Neural Earth · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Lead / Staff level
- Fully remote
- Python + GeoPandas
- Manage direct report
- Climate tech focus
Join the Science team at Neural Earth to define the technical strategy for ingesting and structuring multi-hazard geospatial data. You will architect production-grade pipelines that feed ML and AI models, ensuring scientific rigor meets business utility. As a founding member of this function, you will bridge the gap between complex environmental science and enterprise decision-making.
What you'll do
- Design and deploy Python-based models to quantify environmental hazards
- Architect geospatial data pipelines from raw data to indexed intelligence
- Structure data for consumption by internal ML and AI teams
- Translate scientific findings into business-ready products for clients
- Serve as subject matter expert in customer and strategy discussions
- Establish rigorous validation standards for reproducibility and accuracy
- Mentor and manage at least one direct report
What you'll need
- Master's or PhD in Geospatial Science, Data Science, or related field
- 5+ years of applied experience with geospatial data outside academia
- Fluent in Python and production-grade model building
- Experience with GeoPandas, Rasterio, GDAL, xarray, and Shapely
- Proficient with GeoTIFF, COG, GeoParquet, and NetCDF formats
- Background in insurance, energy, government, defense, or climate tech
- Proven ability to lead technical capabilities and mentor others
Stack
- Python
- GeoPandas
- Rasterio
- GDAL
- xarray
- Shapely
- GeoTIFF
- COG
- GeoParquet
- NetCDF
How you'll work
- Fully remote work policy
- Competitive base regardless of location
What you get
- Performance-based cash bonuses
- Majority employer-paid health, dental, and vision
- Flexible Paid Time Off
- Group Life Insurance at 2x base salary
- FSA and HSA options available