Geospatial Data Scientist: AI Grid Risk Modeling, Equity

Neara; Houston (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Significant equity

Job summary

Neara, a leader in physics-enabled digital twins of electricity grids, seeks a Data Scientist, Geospatial to join our Houston team. You’ll work with a key regional utility to build physics-backed models using LiDAR, GIS, asset records, and weather data to prevent wildfires and inform grid hardening decisions.

You will develop predictive risk models, create robust spatial data pipelines, and establish QA/QC while translating complex results into actionable insights for capital investments.

Qualifications

• 5+ years of hands-on experience in data science or machine learning.
• Geospatial data or power grid domain experience is a plus.
• Strong quantitative intuition and ability to present complex findings to customers and senior leaders.
• Experience working in fast-paced, high-growth technology environments is a plus.
• Self-driven with ownership of complex projects and ability to adapt quickly to shifting priorities.
• Natural collaborator at the intersection of technical teams and external stakeholders.

Responsibilities

• Embed and collaborate with customer geospatial and GIS teams in a hybrid setting, on-site at their offices.
• Build predictive risk models using LiDAR, terrain models, and weather data to simulate risks and prevent wildfires.
• Translate spatial and structural risk metrics into defensible, data-driven insights for grid hardening investments.
• Build and maintain robust spatial data pipelines for diverse geospatial formats.
• Establish QA/QC benchmarks for spatial accuracy and CRS transformations.
• Mentor others in model training, data analytics, and building data-driven products.

Skills

Geospatial data

Machine learning

Communication skills

Collaboration

Tools

LiDAR

GIS software

Job description

Neara, a leader in physics-enabled digital twins of electricity grids, seeks a Data Scientist, Geospatial to join our Houston team. You’ll work with a key regional utility to build physics-backed models using LiDAR, GIS, asset records, and weather data to prevent wildfires and inform grid hardening decisions.

You will develop predictive risk models, create robust spatial data pipelines, and establish QA/QC while translating complex results into actionable insights for capital investments.