---
title: 'Geospatial Data Scientist Lead at Neural Earth'
canonical: 'https://feeny.ai/job/geospatial-data-scientist-lead-neural-earth-united-states-jm0y10hze4wh'
type: 'job'
last_seen: '2026-09-10'
---

# Geospatial Data Scientist Lead at Neural Earth

- **Company:** Neural Earth
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/neural-earth/6e7e09a1-c053-47f1-aaac-cca07bf607a0

## Job description

## THE COMPANY

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.

## THE TEAM

Neural Earth's Science team transforms raw environmental data into intelligence that moves markets and protects lives. You will join a growing group of geospatial data scientists, ML specialists, and 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.

## THE ROLE

This is a founding, staff-level role with a direct report. You will own Neural Earth's geospatial data science function, define the technical strategy for how we ingest, structure, and pipeline multi-hazard geospatial data, and make that data usable by our ML and AI teams to power quantified intelligence products used by insurers, government agencies, and infrastructure operators. You are comfortable across geospatial data broadly, not specialized in a single sub-discipline like meteorology. You work at the intersection of geospatial engineering, data infrastructure, and applied science. 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!

## HOW YOU'LL BE SUCCESSFUL

- Model: Design and deploy Python-based geospatial models that quantify environmental and physical hazards at a level of precision that drives real business decisions, not just research outputs.
- Build: 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 customers can act on. Structure and prepare that data so it is ready to run through the models our ML and AI teams build, and own the production pipelines that keep it flowing reliably.
- Translate: Convert complex, multi-hazard scientific findings into business-ready products that are legible and compelling to insurance underwriters, government operators, and enterprise decision-makers.
- Lead: Serve as Neural Earth's internal and external subject matter expert on geospatial data science, driving customer calls, proposals, and strategy discussions, while managing and developing a direct report.
- Validate: Establish rigorous validation standards for all geospatial models, ensuring methods are reproducible, cross-validated, and defensible across industries and geographies.

## WHY WE VALUE YOU

- You have 5+ years of experience working with geospatial data broadly, across formats and hazard types, in a research or applied setting, in addition to any graduate degree.
- You write Python fluently and have built production-grade geospatial models using GeoPandas, Rasterio, GDAL, xarray, and Shapely.
- You know how to engineer and structure geospatial data so it is ready to feed ML and AI models built by others. You would rather apply and extend someone else's research five different ways than chase original research yourself.
- You are fluent in geospatial data formats (GeoTIFF, COG, GeoParquet, NetCDF) and have worked with large-scale raster, vector, and time-series datasets in cloud environments.
- You have shaped a scientific or technical framework, not just executed within someone else's.
- You think in systems. When you see a wildfire burn scar, your mind goes to downstream snowpack risk.
- You can walk a customer through a confidence interval in the morning and brief a C-suite on business implications in the afternoon, without ever sounding condescending or over your audience's head.
- You define your own structure in ambiguous environments and build something real before the roadmap is written.
- You do not ship unvalidated models. You have the judgment to know when something is ready.
- You have mentored or managed at least one direct report or informally led technical work, and you know how to grow talent, not just do the work yourself.
- You care when your hazard model shapes an insurance decision or informs a disaster response. This matters to you.

## 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

## COMPENSATION

The salary range for this position is $185,000 to $231,000 annually, reflecting progression within the role based on demonstrated growth and impact. At Neural Earth, we believe in pay equity, transparency, and rewarding growth. Our compensation philosophy is built on an equitable model with offers based on role, level, and expertise. This approach ensures that all employees are paid fairly and equitably without the influence of external factors like negotiation skills or previous pay history. This structure provides clarity, consistency, and alignment between pay, performance, and career development.

## BENEFITS

At Neural Earth, taking care of our people isn't just something we strive for, it's who we are. Our comprehensive benefits package is designed to support you at every stage, whether you're advancing your career, growing your family, or planning for the future. From day one, you'll have access to:

- 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

We know that when people feel supported, they can focus on what matters most at Neural Earth which is doing great work, growing in their careers, and making a meaningful impact.

## About Neural Earth

## Company Overview
- **One-liner**: Neural Earth provides a unified geospatial intelligence platform that fuses AI, remote-sensing pipelines, hazard models, and large-scale spatial analytics to help organizations assess property-level risk, manage assets, and identify market opportunities.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: United States (specific city not publicly disclosed; roles listed as US-based and Global)
- **Founded**: Year not publicly disclosed; company operates as Neural Labs, Inc.
- **Founders**: Austin Childs (CEO, Co-Founder) and Dan Lopez (CTO, Co-Founder) [neuralearth.ai](https://www.neuralearth.ai/leadership)

## Core Business
- **Primary industry/industries**: Geospatial Intelligence, Climate Risk Analytics, AI/ML, PropTech, InsurTech
- **Target customers**: B2B — specifically insurance carriers and underwriters, real estate and asset managers, and financial institutions needing property-level risk and market intelligence
- **Mission or purpose statement**: "Geospatial intelligence for a resilient world" — turning complexity from a changing planet into clarity for physical and financial systems [neural-earth.io](http://neural-earth.io/)

## Products & Services
- **Neuron**: An AI and geospatial infrastructure platform for building data pipelines, running models, and deploying applications at scale [neural-earth.io](http://neural-earth.io/)
- **Prometheus**: An AI-driven geospatial analytics engine for risk assessment and market response. It integrates structural, environmental, financial, and behavioral signals at the asset level to replace fragmented data sources and manual workflows. Used for faster diligence, loss compression, and selection advantage [neuralearth.ai](https://www.neuralearth.ai/)
- **Risk**: A product focused on analyzing property-level risk and managing assets at scale using AI-powered geospatial capabilities [neural-earth.io](http://neural-earth.io/)
- **Studio**: A product for AI-driven geospatial analysis to explore markets and identify new opportunities [neural-earth.io](http://neural-earth.io/)
- **Gaia**: An AI-powered analysis engine within the platform [neural-earth.io](http://neural-earth.io/)
- **Neural Earth Catalog**: Built-in data resources including remote-sensing data, hazard models, and feature extraction tools [neural-earth.io](http://neural-earth.io/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (Private company)
- **Key Metric**: Total Funding — Closes More Than $9M in Oversubscribed Seed Round (date not specified, but recent as of 2025/2026) [neural-earth.io](http://neural-earth.io/)
- **Notable Investors/Partners**: Not individually named in available materials; partnerships extend "beyond the tech community to include business customers, academia, and non-profits" [neuralearth.ai](https://www.neuralearth.ai/leadership)
- **Growth Signals**: Oversubscribed seed round of $9M+; launch of multiple product offerings (Neuron, Prometheus, Studio, Risk); claims that customers identify "4× more on-strategy opportunities" and "50% loss compression" in underwriting workflows [neuralearth.ai](https://www.neuralearth.ai/)

## Competitive Advantages
- **Unified platform** that replaces "up to a dozen fragmented data sources" with one integrated system [neuralearth.ai](https://www.neuralearth.ai/)
- **Asset-level precision** combining structural, environmental, financial, and behavioral signals — providing "150+ variables per parcel"
- **Real-time geospatial compute** and AI-powered analytics that compress weeks of manual data collection into seconds of actionable intelligence
- **Auditable trail** for every decision, providing defensible evidence for underwriting and investment [neuralearth.ai](https://www.neuralearth.ai/)

## Strategic Focus
- Scaling the unified ecosystem of geospatial intelligence products
- Expanding into insurance and real estate verticals with property-level risk assessment
- Building out AI/ML pipelines and large-scale batch processing capabilities
- Growing the team across engineering, product, sales, and climate risk domains

## Why Work Here
- **Culture**: Team composed of "experts, operators, visionaries, and technologists from a variety of different backgrounds and skill sets" — values cross-sector collaboration including academia and nonprofits [neural-earth.io](https://www.neural-earth.io/careers)
- **Remote policy**: Fully remote company — all listed positions are "Remote" with a mix of "Contract to full time" and direct "Full time" options [jobs.ashbyhq.com](https://jobs.ashbyhq.com/neural-earth)
- **Notable perks/engineering culture**: Opportunity to work on cutting-edge AI and geospatial technology at the intersection of climate risk and financial systems; early-stage company with oversubscribed seed funding providing growth trajectory; roles span AI/ML, platform engineering, geospatial data science, product design, and sales
- **Open positions as of search date**: AI/ML Engineer, Account Executive, Geospatial Data Scientist, Mechanical Engineer, Staff Platform Engineer, Sales Engineer, Senior Product Designer, plus open applications [jobs.ashbyhq.com](https://jobs.ashbyhq.com/neural-earth)

## Sources
1. [neural-earth.io](http://neural-earth.io/) — Company website, product descriptions, funding announcement
2. [neural-earth.io/careers](https://www.neural-earth.io/careers) — Careers page, team culture description
3. [neuralearth.ai](https://www.neuralearth.ai/) — Prometheus product page, customer value claims, industry focus
4. [neuralearth.ai/leadership](https://www.neuralearth.ai/leadership) — Leadership team details, co-founders
5. [jobs.ashbyhq.com/neural-earth](https://jobs.ashbyhq.com/neural-earth) — Open job listings, remote policy

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