Principal Research Scientist (Risk)

TL;DR

Principal Research Scientist (Risk): Leading an internal research group focused on system resilience, reliability, and policy for electricity grids with an accent on probabilistic modeling and uncertainty quantification. Focus on developing predictive models for asset failure and designing decision models to optimize infrastructure investments.

Location: Hybrid, New York City

Salary: $180K – $220K + Equity

Company

hirify.global uses advanced machine learning to create engineering-grade, physics-enabled digital twins of electricity grids to help utilities pinpoint risks and build a more resilient energy future.

What you will do

• Build and lead the 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 wildfire-related risk.
• Design decision models to quantify the operational and economic consequences of resilience and reliability investments.
• Quantify the value of network-scale data using both empirical and analytical methods.

Requirements

• PhD in statistics, applied mathematics, physics, computer science, operations research, engineering, or a comparable record of original research.
• Proven experience independently defining and leading a substantial research program as a group leader or industry principal.
• Experience building technical teams and setting strategic research direction.
• Extensive expertise in probabilistic modeling, uncertainty quantification, and decision-making under incomplete information.
• Substantial experience modeling operational systems, particularly in insurance, catastrophe modeling, weather prediction, or reliability engineering.

Culture & Benefits

• Competitive compensation package including a significant equity component.
• Access to a cutting-edge 3D physics-enabled platform and unique network-scale utility data.
• Freedom to define the research agenda and establish modeling functions for novel, under-specified problems.
• Central role in shaping the long-term product roadmap and analytical standards.
• Flexible hours and working arrangements.