Data Scientist, Geospatial

📋 Description

• Embed and collaborate directly with customer geospatial and GIS teams in a hybrid setting, spending
• 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
• 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
• Strong quantitative intuition for data, with 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
• Grounded, resourceful approach to problem-solving, with a track record of navigating messy

🎁 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
• Enjoy a highly competitive compensation package with a significant equity component, ensuring you