Principal Research Scientist – Risk

Neara

. Contribute to Neara’s applied research function for infrastructure risk and resilience .

Posted 10/5/2026full-timeRemote • New York • United StatesLead💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in probabilistic modeling, uncertainty quantification, and decision-making, with a strong focus on developing predictive models for infrastructure risk and resilience. Proven ability to define research agendas and translate findings into actionable tools and recommendations for utilities.

Highest-signal resume keywords

PhD In StatisticsProbabilistic ModelingUncertainty QuantificationScientific ComputingInsurance Or Catastrophe Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingModel ValidationDecision-Making Under Incomplete InformationOperational Systems ModelingData QuantificationRisk ModelingResearch Agenda DevelopmentNetwork-Scale Structural ModelingEconomic Consequence AnalysisVegetation Failure Analysis

Soft Skills

Independent Research ExecutionInfluential CommunicationSubject Matter Expertise

Industry Keywords

Infrastructure RiskResilience EngineeringPower-System OutagesClimate Hazard PredictionOperational Reliability

Tech Stack

Tools & technologies

Remote Sensing

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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