Geospatial Data Scientist

Neural Earth

32d • $135,000 - $201,000

About The Position

We are NEURAL EARTH. We bring clarity to physical risk, enabling leaders to engage with confidence and enact resilient, business-critical decisions. Today's environmental, economic, and infrastructure challenges are deeply interconnected, yet the data required to understand these relationships is scattered across siloed and aging systems. Neural Earth enables operational execution, delivering a single decision intelligence platform that unifies planetary, governmental, and asset-level data, always on and always learning. This is technical work that requires patience. It requires teams willing to operate at the intersection of AI research, geospatial science, distributed systems, and enterprise deployment. It is also incredibly rewarding. Join us at Neural Earth — the next frontier is here.

Neural Earth's Science team transforms raw environmental data into intelligence that moves markets and protects lives. You will join a growing group of atmospheric scientists, ML specialists, and geospatial researchers led by a strong leader, who sets a high bar: the work must be publishable in quality and deployable in production. You will collaborate closely with Engineering, Product, and Revenue to make sure what we build in science reaches the customers who need it.

This is a founding role. You will own Neural Earth's weather and atmospheric analytics function, define the science strategy, and translate multi-hazard data into quantified intelligence products used by insurers, government agencies, and infrastructure operators. You work at the intersection of atmospheric science, machine learning, and geospatial engineering. You do not stop at the paper. You build things that ship, scale, and make hazard data understandable to people who are not scientists. This is you!

Requirements

• Master's or PhD in Atmospheric Science, Meteorology, Geospatial Science, Data Science, or a related field
• 3-6 years of experience with atmospheric, weather, or geospatial data in a research or applied setting
• Prior experience in insurance, energy, government, defense, or climate tech
• Demonstrated ability to build and lead a scientific capability, not just contribute to one

Nice To Haves

• 3 or more years working with atmospheric and geospatial data, including numerical weather prediction models (WRF, ECMWF) and multi-hazard analysis at scale.
• Fluent Python programming skills and experience building production-grade geospatial models using GeoPandas, Rasterio, GDAL, xarray, and Shapely.
• Applied ML to real atmospheric or climate problems using PyTorch, TensorFlow, or scikit-learn and shipped the results.
• Fluency in geospatial data formats (GeoTIFF, COG, GeoParquet, NetCDF) and experience with large-scale raster, vector, and time-series datasets in cloud environments.
• Experience shaping a scientific framework or research agenda.
• Systems thinking approach to problem-solving.
• Ability to communicate complex scientific findings to both technical and non-technical audiences.
• Ability to define structure in ambiguous environments and build before a roadmap is written.
• Judgment to know when a model is ready for deployment.
• A strong sense of care and responsibility for the impact of hazard models.

Responsibilities

• Design and deploy Python-based numerical weather prediction and geospatial models that quantify atmospheric hazards at a level of precision that drives real business decisions, not just research outputs.
• Architect Neural Earth's atmospheric analytics capability from the ground up, including the team, data pipelines, and scientific frameworks that turn hazard data into indexed intelligence products customers can act on.
• Convert complex, multi-hazard scientific findings into business-ready products that are legible and compelling to insurance underwriters, government operators, and enterprise decision-makers.
• Serve as Neural Earth's internal and external subject matter expert on weather and climate, driving customer calls, proposals, and strategy discussions.
• Establish rigorous validation standards for all atmospheric models, ensuring methods are reproducible, cross-validated, and defensible across industries and geographies.

Benefits

• Competitive base compensation regardless of work location
• Company performance-based cash bonuses
• Majority employer-paid health, dental, and vision insurance for you and your dependents
• Flexible Paid Time Off (PTO)
• Group Life Insurance at 2x your base salary, paid by the company
• FSA and HSA options to maximize your healthcare dollars

What This Job Offers

• Job Type: Full-time
• Career Level: Senior