Neural Earth Logo

Neural Earth

Geospatial Data Scientist Lead

Posted 5 Days Ago
Remote
Hiring Remotely in United States
185K-231K Annually
Senior level
Remote
Hiring Remotely in United States
185K-231K Annually
Senior level
Lead and build Neural Earth's geospatial data science function: design and deploy Python-based geospatial models, architect production geospatial data pipelines, validate reproducible methods, translate scientific outputs into customer-ready products, and manage and mentor at least one direct report while advising customers and stakeholders.
The summary above was generated by AI

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.

Similar Jobs

2 Hours Ago
Remote
United States
220K-220K Annually
Senior level
220K-220K Annually
Senior level
Security • Cybersecurity
Lead and grow the Backend Engineering team building microservice-based platform components for streaming data ingest, detection processing, baseline learning, asset reconciliation, and core platform APIs. Mentor engineers, collaborate with tech leads and product managers, provide technical design input, support production deployments, and occasionally contribute to development and troubleshooting.
Top Skills: Apache FlinkDistributed SystemsHashicorp VaultMicroservice ArchitecturesRabbitMQRustStreaming Data Processing
6 Hours Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads to consult customers on insurance needs and convert leads into policyholders. Participate in paid remote training and obtain a Property & Casualty license. Work a 4-weekday plus 1-weekend schedule, maintain a professional home workspace with wired high-speed internet, and use company-provided computer equipment. Earn base salary plus commission with opportunities for growth and rewards.
Top Skills: CableFiber)PcWired High-Speed Internet (Dsl
6 Hours Ago
Remote
USA
160K-180K Annually
Mid level
160K-180K Annually
Mid level
Insurance • Legal Tech • Social Impact
The Chief of Staff will lead strategic initiatives for new business lines at Atticus, focusing on client acquisition and operational strategy while collaborating with various leaders.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account