About this role
The Data Scientist, Geospatial role is an on-site position based in Houston with Neara that suits an experienced professional with a background in data science and machine learning. This position involves collaborating with a regional electric utility to build physics-backed spatial models that mitigate wildfire risks and protect critical energy infrastructure.
Role Overview
The Data Scientist, Geospatial will embed with customer GIS teams in a hybrid setting in Houston to build predictive risk models and spatial data pipelines. This practitioner will utilize machine learning and physics-enabled digital twins to simulate weather impacts and structural stress on power grids.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Neara builds engineering-grade, physics-enabled digital twins of electricity grids across four continents using advanced machine learning. The organization helps major utility asset owners simulate extreme weather, pinpoint risks, optimize investments, and build infrastructure resilience.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Data Scientist, Geospatial position located?
The position is based in Houston, supporting a regional electric utility with time spent on-site at their offices in a hybrid setting.
What is the salary and compensation for this role?
The compensation ranges from $140K to $150K and includes equity.
How many years of experience are required?
The role requires five or more years of hands-on experience in data science or machine learning.
What tools and data sources will be used?
The role uses complex datasets such as LiDAR, GIS, asset records, weather data, and terrain models within a spatial data stack.
What is the primary focus of the modeling work?
The modeling focuses on simulating conductor sag, sway, and vegetation fall-in risks to prevent wildfire ignitions and harden critical infrastructure.