Remote Staff Data Scientist - Power & Renewables Modeling

Enverus Intelligence Research Inc.; Austin (TX); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Enverus Intelligence Research Inc. in Austin, TX, is seeking a Staff Data Scientist focused on Power and Renewables to lead market modeling and optimization efforts.

You will develop nodal electricity market models, collaborate with Product and Engineering, and mentor junior data scientists while staying current on energy markets and forecasting techniques. Strong Python, MILP, and Kubernetes experience are required for this high-impact role.

Qualifications

• Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or 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 proficiency in Python with production-grade coding practices.
• Familiarity with Kubernetes for container orchestration, API development/integration, and modern data engineering practices.
• Bridge electrical engineering principles with software development.
• Ability to work across product, engineering, and commercial teams to translate complex market concepts into software products.
• Excellent communication skills.

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 understand market problems and translate them 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

Market modeling

Kubernetes

SCUC/SCED

Communication

Product collaboration

Education

Bachelor's degree in Engineering, Mathematics, Economics, OR CS

Tools

Kubernetes

APIs

Pandas

Job description

Enverus Intelligence Research Inc. in Austin, TX, is seeking a Staff Data Scientist focused on Power and Renewables to lead market modeling and optimization efforts.

You will develop nodal electricity market models, collaborate with Product and Engineering, and mentor junior data scientists while staying current on energy markets and forecasting techniques. Strong Python, MILP, and Kubernetes experience are required for this high-impact role.