Principal Data Scientist - Power Markets Modeling

About the role

This is a high-impact role for someone who wants to apply advanced modeling and optimization to real-world power market problems, not build models in isolation.

Responsibilities

• Leading the design and evolution of large-scale power market models
• Developing optimization, forecasting, and simulation methodologies for nodal electricity markets
• Translating customer and market needs into scalable product capabilities
• Partnering closely with software engineers to ensure models are production-ready
• Guiding technical direction across multiple product initiatives
• Mentoring other data scientists and market modelers
• Staying current with evolving electricity markets, optimization methods, and forecasting approaches

Requirements

• Experience developing or applying models for nodal wholesale electricity markets
• Strong understanding of market-clearing algorithms, SCUC, SCED, transmission constraints, and economic dispatch
• Experience with MILP and large-scale optimization
• Strong Python and SQL skills
• Comfort working across product, engineering, commercial, and customer-facing teams
• Ability to translate complex market concepts into practical software products

Qualifications

• Senior data scientist, market modeler, optimization expert, or quantitative power markets professional with deep experience in wholesale electricity markets

Skills

• Experience with a Market Management System
• AC/DC power flow modeling
• ISO/RTO market software
• Power trading platforms
• Commercial market simulation tools

Benefits

• Competitive compensation package including base salary range of $150,000 - $200,000
• Flexible remote work option

Pay

• $150,000 - $200,000

Schedule

• Remote