Data Scientist, Geospatial

The role

You will build physics-backed models on Neara using LiDAR, GIS, asset records, and weather data. You will work with customer geospatial and GIS teams to prevent wildfires and inform capital investment decisions.

What you will do

• Embed and collaborate directly with customer geospatial and GIS teams in a hybrid setting
• Build predictive risk models on Neara that combine LiDAR, terrain models, and weather data
• Translate complex spatial and structural risk metrics into data-driven insights
• Build and maintain robust spatial data pipelines
• Establish QA/QC benchmarks for spatial accuracy, CRS transformations, and structural alignment
• Mentor others in best practices for model training, data analytics, and building data-driven products

Required qualifications

• 5+ years of hands-on experience in data science or machine learning
• Strong quantitative intuition for data
• Excellent communication skills
• Proven experience presenting complex findings to customers and senior leaders
• Self-driven with a bias for action
• Natural collaborator

Nice to have

• Geospatial data or power grid domain experience
• Experience working in fast-paced, high-growth scale-up technology environments

Benefits

• Work with an industry-leading, multi-modal spatial data stack
• Highly competitive compensation package
• Significant equity component

About the company

Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. The team utilizes AI and machine learning to accelerate data classification and complex scenario analysis.