Data Scientist, Geospatial

What you'll do

• Collaborate with customer geospatial and GIS teams to integrate systems and solve spatial data challenges.
• Build predictive models and robust pipelines using geospatial, structural, and weather data; establish spatial QA/QC benchmarks.
• Translate risk metrics into investment insights and mentor others in modeling and analytics practices.

What they ask for

• 5+ years of hands-on experience in data science or machine learning.
• Strong quantitative intuition and excellent communication skills, including experience presenting complex findings to customers and senior leaders.
• Ability to own complex projects, adapt to shifting priorities, and collaborate across technical teams and customer stakeholders.
• Experience navigating real-world datasets to deliver business-driven outcomes.

Nice to have

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

Pay

$140K – $160K USD base salary

Tools

LiDAR, GIS, Neara, CRS

AI focus

Uses machine learning and physics-backed predictive models to simulate vegetation encroachment, conductor sag and sway, and grid failure risks under extreme weather.