Principal Research Scientist - Risk

Location: New York City, hybrid

Salary: $180,000–$220,000 per year, plus equity

Company

hirify.global develops machine-learning-powered, physics-enabled digital twins of electricity grids to help utilities assess infrastructure risks, plan investments, and improve resilience.

What you will do

• Build and lead the applied research function for infrastructure risk and resilience.
• Direct a team of researchers and establish 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 impact of resilience and reliability investments.
• Measure the value of additional data, inspections, devices, and remote-sensing capabilities using empirical and analytical methods.
• Shape hirify.global’s research agenda, product roadmap, analytical standards, and customer advisory services.

Requirements

• PhD in statistics, applied mathematics, physics, computer science, operations research, engineering, or a comparable record of original research and applied technical work.
• Experience independently defining and leading a substantial research program as a group leader or industry principal.
• Evidence of influential publications, patents, or production systems.
• Experience building technical teams and setting research direction.
• Extensive experience in probabilistic modeling, uncertainty quantification, model validation, scientific computing, and decision-making under incomplete information.
• Substantial experience modeling operational systems, particularly insurance or catastrophe modeling, weather and climate hazards, power-system outages, or reliability engineering.

Culture & Benefits

• Competitive compensation with a significant equity component.
• Access to unique network-scale utility data and a 3D physics-enabled platform for critical infrastructure research.
• Freedom to define the research agenda, methods, and modeling function.
• Flexible hours and working arrangements.