Data Scientist, Geospatial
Key Skills for This Role
Full Job Posting
What You Will Do:
- 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.
Who You Are:
- 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, with excellent communication skills and proven experience presenting complex findings to customers and senior leaders.
- 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 adapting quickly to shifting priorities.
- Natural collaborator who thrives at the intersection of technical teams (ML, Software) and external customer stakeholders.
- Grounded, resourceful approach to problem-solving, with a track record of navigating messy, real-world datasets to deliver clear, business-driven outcomes.
What We Offer:
- Work with an industry-leading, multi-modal spatial data stack - including airborne LiDAR, high-resolution satellite imagery, and physics-enabled digital twins - to solve real-world engineering challenges at immense scale.
- Your spatial modeling will directly mitigate wildfire risks, optimize utility vegetation management, and harden critical infrastructure across millions of kilometers of energy grids.
- Shape the spatial architecture of our core product line while collaborating with top-tier ML and software engineers.
- Enjoy a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our rapid global scaling.
- #LI-NT1 #LI-DNP
Preferred Qualifications
- 5+ years of hands-on experience in data science or machine learning. Geospatial data or power grid domain experience is a plus.
- Experience working in fast-paced, high-growth scale-up technology environments is a plus.
About Neara
Australian private software company providing physics-enabled digital twin modeling for utility infrastructure owners.
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