Principal Research Scientist - Risk

Neara
New York, NY
Remote

Who this role is best for

Infrastructure risk modeling experts with a research background will find this impactful role in a collaborative, mission-driven environment.

Best fit for

  • Candidates with a PhD and independent research leadership experience
    — “A PhD in statistics, applied mathematics, physics, computer science, operations research, engineering, or a comparable record of original research and applied technical work.”
  • Individuals with a track record in predictive modeling for power systems and natural disasters
    — “Develop predictive models for equipment damage, vegetation failure, outage likelihood and duration, and wildfire-related risk.”
  • Experts in quantifying economic and operational impacts of infrastructure investments
    — “Design decision models that quantify the operational and economic consequences of resilience and reliability investments.”

Things to consider

  • The role demands a high level of technical independence and leadership without direct management oversight
    — “Recognized subject matter expert with deep technical authority and a history of setting research direction without needing direct management oversight.”
  • Candidates must be prepared to work with unique, large-scale utility data not typically available in other industrial settings
    — “Access to unique network-scale utility data unavailable in other industrial research settings.”

How to stand out

  • Highlight experience in probabilistic modeling and decision-making under uncertainty in your resume and interviews
    — “Extensive experience in probabilistic modeling, uncertainty quantification, model validation, scientific computing capabilities and decision-making under incomplete information.”
  • Emphasize your ability to translate research into production-grade tools and recommendations
    — “Translate findings into tools and recommendations for utilities managing billions of dollars in capital expenditure.”
  • Showcase your background in modeling operational systems, especially in power outages or climate hazards
    — “Substantial experience modeling operational systems. Particularly relevant topics include insurance or catastrophe modeling; weather prediction and climate hazard; outages in power systems; and reliability engineering.”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • influential publications
  • patents
  • production systems
Typical background
PhD in statistics, applied mathematics, physics, computer science, operations research, engineering

Skills & requirements

Required

Machine LearningStatistical ModelingDecision ModelsRisk ModelingUncertainty QuantificationScientific ComputingProbabilistic Modeling

Preferred

Patent ApplicationProduction Systems

Stack & domain

Machine LearningAdvanced Statistical And Decision ModelsPredictive ModelsProbabilistic ModelingUncertainty QuantificationScientific ComputingAIData ClassificationComplex Scenario AnalysisLeadershipCollaborationProblem-solvingCommunicationRisk ManagementReliabilityPolicyInfrastructureEnergyUtilities

About the role

Original posting from Neara via Ashby

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.

Principal Research Scientist - Risk

We are seeking an experienced research scientist to contribute to Neara’s internal research group in topics of system resilience, reliability, and policy. In this role, you will define a research agenda, develop rigorous statistical and decision models, and translate findings into tools and recommendations for utilities managing billions of dollars in capital expenditure.

Neara provides network-scale structural, loading, and contextual data across complete overhead electrical systems. As a Principal Research Scientist - Risk, you will use this information to build generalizable models of asset failure and determine the value of additional data, inspections, and interventions.

What You Will Do:

  • 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 that quantify the operational and economic consequences of resilience and reliability investments, including asset replacement, vegetation management, and network redesign.
  • Quantify the value of data including pole loading analysis, visual inspections, and the installation of new devices and remote sensing capabilities, both empirically and by analytical methods.

Who You Are:

  • A 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 of independently defining, driving, and executing a substantial research agenda as a senior individual contributor or industry principal, demonstrated through influential publications, patents, or production systems.
  • Recognized subject matter expert with deep technical authority and a history of setting research direction without needing direct management oversight.
  • Extensive experience in probabilistic modeling, uncertainty quantification, model validation, scientific computing capabilities and decision-making under incomplete information.
  • Substantial experience modeling operational systems. Particularly relevant topics include insurance or catastrophe modeling; weather prediction and climate hazard; outages in power systems; and reliability engineering.

What We Offer:

  • A highly competitive compensation package including an equity component to ensure you directly benefit from Neara’s sustained success and impact on critical infrastructure.
  • The opportunity to work on a cutting-edge, 3D physics-enabled platform used to anticipate the impact of extreme events, reduce infrastructure failure, and direct investment. Access to unique network-scale utility data unavailable in other industrial research settings.
  • The opportunity to help develop and build Neara’s research modeling function, establishing the agenda, identifying preferred methods and working on novel under-specified problems.
  • A central role in shaping Neara’s long-term product roadmap, analytical standards and customer advisory services.
  • Flexible hours and working arrangements designed to help you do your best work from where you work best.

#LI-NT1

Source: Neara careers (Ashby)

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