Geospatial Data Scientist

🕒 July 31

🇺🇸 United States – Remote

💵 $185k - $231k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗺️ GIS

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Neural Earth

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🛡️ Insurance

🏠 Real Estate

Artificial Intelligence • Insurance • Real Estate

Neural Earth is an AI-driven geospatial intelligence company that provides a platform (Prometheus) and APIs to deliver property-level physical risk analytics for property & casualty insurers and commercial real estate/asset managers. Its product suite includes Compass Asset Finder (search across 150M+ U. S. parcels), Fulcrum catastrophe modeling, Pyre wildfire intelligence, Roof Analytics API, Parcel Enrichment API (350+ underwriting-grade fields), and other tools that fuse satellite imagery, IoT, climate models and economic data into underwriting and portfolio decisioning. The platform emphasizes faster diligence, loss compression, and decision velocity by surfacing address-level risk signals and integrated AI engines for underwriting and asset management workflows.

📋 Description

• Design and deploy Python-based geospatial models that quantify environmental and physical hazards at a level of precision that drives real business decisions • Architect Neural Earth's geospatial data pipelines from the ground up, including the systems, infrastructure, and scientific frameworks that turn raw hazard data into indexed intelligence products • 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 geospatial data science, driving customer calls, proposals, and strategy discussions • Establish rigorous validation standards for all geospatial models, ensuring methods are reproducible, cross-validated, and defensible across industries and geographies

🎯 Requirements

• Master's or PhD in Geospatial Science, Data Science, Atmospheric or Environmental Science, or a related field • 5+ years of experience with geospatial data in a research or applied setting, outside of academic training • Prior experience in insurance, energy, government, defense, or climate tech • Demonstrated ability to build and lead a technical capability, including managing or mentoring at least one direct report

🏖️ 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