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Principal Research Scientist - Risk

New York City🌐 Remote💼 Full-time🗓 2026-10-05 → 2026-10-07

Core

Define research agendas and build statistical/decision models to assess infrastructure risk, resilience, and reliability for global utilities using network-scale data.

Role type

Principal Research Scientist (Risk & Resilience)

Builds

Generalizable models of asset failure, decision models for resilience investments, and data value quantification tools.

Domain

Energy infrastructure, power grid reliability, and risk modeling

Deliverable

production ML models

Required skills

Probabilistic modeling, uncertainty quantification, decision modeling, scientific computing, model validation, research agenda definition (via careerplan.io/jobs/c4c6e1be-db06-4917-8a6e-d4f5e362cbc8-principal-research-scientist-risk-at-neara)

Preferred skills

Catastrophe modeling, weather prediction, climate hazard analysis, reliability engineering, insurance modeling

Technologies

Statistical modeling frameworks, decision optimization tools, scientific computing environments

Responsibilities

Establish standards for risk modeling and uncertainty quantification; develop predictive models for equipment damage and outage likelihood; design decision models for operational and economic consequences of investments; quantify the value of data and interventions.

Seniority

Principal, strategy & mentorship