Lead Power Market Data Scientist

Pearl Street Technologies; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life, AD&D, Disability, Critical Illn.

EAP

HSA

Commuter Benefits

Lifestyle & Wellbeing Program

Pet Insurance

Job summary

Enverus is seeking a Staff Data Scientist to lead the development of power and renewables market models and analytics. You will collaborate with product and engineering teams to translate market needs into robust modeling, forecasting, and optimization capabilities for nodal electricity markets.

The role requires deep expertise in wholesale electricity markets, Python development, and modern data engineering practices. You will mentor others and influence product strategy across energy markets.

Qualifications

• Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field.
• Extensive experience developing or applying models for nodal wholesale electricity markets.
• Strong understanding of market-clearing algorithms, SCUC, SCED, and transmission constraints.
• Experience with MILP and large-scale optimization.
• Strong Python production-grade coding practices.
• Familiarity with Kubernetes, APIs, and modern data engineering practices.
• Bridge between electrical engineering principles and software development.
• Excellent communication across teams.

Responsibilities

• Lead the design and evolution of large-scale fundamental power market models.
• Define the mathematical and analytical approaches behind new product capabilities.
• Develop optimization, forecasting, and simulation methodologies for nodal electricity markets.
• Collaborate closely with software engineers to ensure models are scalable, performant, and production-ready.
• Work directly with customers and product managers to translate market problems into commercial solutions.
• Guide technical direction across multiple product initiatives and influence long-term product strategy.
• Mentor other data scientists and market modelers while raising the technical bar across the organization.
• Stay current with evolving electricity markets, optimization techniques, and forecasting methodologies.

Skills

Python

MILP optimization

Power market modeling

Kubernetes

APIs

Team mentoring

Communication

Software development

Education

Bachelor’s degree in Engineering/Math/Econ/OR/CS

Tools

Market Management System (MMS)

Job description

Enverus is seeking a Staff Data Scientist to lead the development of power and renewables market models and analytics. You will collaborate with product and engineering teams to translate market needs into robust modeling, forecasting, and optimization capabilities for nodal electricity markets.

The role requires deep expertise in wholesale electricity markets, Python development, and modern data engineering practices. You will mentor others and influence product strategy across energy markets.