Principal Research Scientist – Risk

🔥 2 minutes ago

🗽 New York – Remote

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💵 $180k - $220k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

👻 Ghost score 15%

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Logo of Neara

Neara

51 - 200 employees

Founded 2016

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 Series B on 2022-05

Consulting • Logistics • Manufacturing

Neara is a predictive modeling software company focused on enhancing network governance for utilities through proactive risk management and digital asset management. By simulating real-world scenarios like severe weather, Neara enables utilities to identify vulnerabilities, prioritize maintenance, and optimize network design more efficiently. Their solutions include asset health assessments, vegetation management, and tools for renewable energy integration, ultimately helping utilities ensure reliability and resilience in their operations.

📋 Description

• Contribute to Neara’s applied research function for infrastructure risk and resilience • Establish rigorous standards for risk modeling, uncertainty quantification, and decision-making • Develop predictive models for equipment damage, vegetation failure, outage likelihood and duration, and wildfire-related risk • Design decision models quantifying the operational and economic consequences of resilience and reliability investments • Quantify the value of data from pole loading analysis, visual inspections, new devices, and remote sensing capabilities • Define a research agenda and translate findings into tools and recommendations for utilities • Build generalizable models of asset failure using network-scale structural, loading, and contextual data

🎯 Requirements

• PhD in statistics, applied mathematics, physics, computer science, operations research, engineering, or a comparable record of original research and applied technical work • Proven track record independently defining, driving, and executing a substantial research agenda as a senior individual contributor or industry principal • Influential publications, patents, or production systems demonstrating research impact • Recognized subject matter expert with deep technical authority • History of setting research direction without direct management oversight • Extensive experience in probabilistic modeling, uncertainty quantification, model validation, scientific computing, and decision-making under incomplete information • Substantial experience modeling operational systems • Relevant experience in insurance or catastrophe modeling, weather prediction and climate hazard, power-system outages, or reliability engineering

🏖️ Benefits

• Equity component • Access to unique network-scale utility data • Opportunity to shape the research modeling function and agenda • Central role in shaping the long-term product roadmap, analytical standards, and customer advisory services • Flexible hours and working arrangements

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