Geospatial Data Scientist — Grid Risk & Resilience AI

Neara

Houston (TX)

Hybrid

USD 140,000 - 160,000

Full time

16 hours ago
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Benefits offered by this job

Equity
Competitive compensation
Hybrid on-site work

Job summary

Neara is seeking a Data Scientist, Geospatial to join our Houston team, delivering physics-backed models using LiDAR, GIS, asset records, and weather data for a regional electric utility. You will work directly with the partner to mitigate wildfire risks and inform capital investments in grid hardening.

You will embed with customer GIS teams, build risk models, and create robust data pipelines while mentoring colleagues in best practices for ML and data analytics.

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 scale-up technology environments is a plus.

Responsibilities

  • Embed and collaborate directly with customer geospatial and GIS teams in a hybrid setting, spending time on-site at their offices to deeply understand their data workflows, integrate systems, and solve complex spatial challenges.
  • Build predictive risk models on Neara that combine LiDAR, terrain models, and weather data to simulate conductor sag, sway, and vegetation fall-in risks to directly prevent wildfire ignitions.
  • Translate complex spatial and structural risk metrics into defensible, data-driven insights that inform utility capital investment decisions for grid hardening.
  • Build and maintain robust spatial data pipelines to ingest, clean, vectorize, and integrate diverse geospatial data formats from our utility partner.
  • Establish QA/QC benchmarks for spatial accuracy, coordinate reference system (CRS) transformations, and structural alignment across disparate data sources.
  • Mentor others in best practices for model training, data analytics, and building data-driven products.

Skills

Geospatial data
Data science
Machine learning
Communication skills
Collaboration

Job description

Neara is seeking a Data Scientist, Geospatial to join our Houston team, delivering physics-backed models using LiDAR, GIS, asset records, and weather data for a regional electric utility. You will work directly with the partner to mitigate wildfire risks and inform capital investments in grid hardening.

You will embed with customer GIS teams, build risk models, and create robust data pipelines while mentoring colleagues in best practices for ML and data analytics.

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