Data Scientist, Geospatial

📋 Description

• Build predictive risk models on Neara that combine LiDAR, terrain models, and weather data to
• Translate complex spatial and structural risk metrics into defensible, data-driven insights that
• Build and maintain robust spatial data pipelines to ingest, clean, vectorize, and integrate diverse
• Establish QA/QC benchmarks for spatial accuracy, coordinate reference system (CRS) transformations
• Collaborate directly with customer geospatial and GIS teams to understand data workflows and
• Mentor others in best practices for model training, data analytics, and building data-driven

🎯 Requirements

• 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 for data, excellent communication skills, and proven experience
• Experience working in fast-paced, high-growth scale-up technology environments is a plus.
• Self-driven with a bias for action, comfortable taking full ownership of complex projects and
• Natural collaborator who thrives at the intersection of technical teams (ML, Software) and external

🎁 Benefits

• Work with an industry-leading, multi-modal spatial data stack - including airborne LiDAR
• Your spatial modeling will directly mitigate wildfire risks, optimize utility vegetation
• Shape the spatial architecture of our core product line while collaborating with top-tier ML and
• Highly competitive compensation package with a significant equity component.