Neara provides a cloud-based software platform that creates physics-enabled digital twins of infrastructure networks, allowing engineering-grade simulation and analysis of assets across an entire network. Backed by Innovation Bay.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
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