Energy Systems Modeler
Listed on 2026-06-03
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Engineering
Data Science Manager, Data Engineer
Company Overview
Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency.
Our company values include creative spirit, pride of ownership, follow-through, and a team-first attitude. Pattern is headquartered in the United States with a global portfolio of over 30 power facilities, serving customers and providing low-cost clean energy to millions.
- Execute model simulations using the WIS:dom suite of tools, provide output analysis to the ESP team and external groups, simulate energy systems under different scenarios, conduct forecasting for energy demand and supply over varying horizons.
- Integrate large datasets into the modeling framework, gather and validate input data, locate market data, translate into model parameters, maintain version control and documentation.
- Automate repetitive tasks, improve workflows and modeling accuracy.
- Translate complex model outputs into actionable insights for decision-makers including engineers, project managers, and policymakers.
- Collaborate with multidisciplinary teams (modelers, developers, analysts, GIS, transmission analysts) to align models with real-world conditions and objectives; support development of Pattern mathematical models and simulations.
- Make customizations to WIS:dom branches and assumptions that may impact business decisions.
- Execute model simulations using WIS:dom suite and provide output analysis.
- Integrate large datasets and validate input.
- Automate tasks and enhance workflows.
- Translate outputs into insights.
- Work with multidisciplinary teams to align models.
- Make customizations that impact decision-making.
- Bachelor’s and/or master’s in electrical engineering, economics, mathematics, or a related quantitative field (power system emphasis desired).
- 3-5 years of experience in energy trading, renewables development, or energy industry forecasting/analytics/research.
- High-level understanding of capacity expansion and production cost modeling (commercial or open source).
- Familiarity with optimization techniques and algorithms.
- Knowledge of energy systems and grid operations.
- Ability to work with large datasets, ensuring data integrity.
- Strong problem-solving skills for complex energy scenarios.
- Ability to manage deadlines and coordinate across teams.
- Excellent programming skills in Python, GAMS, Julia.
- Experience with software development best practices (version control with Git).
- Familiarity with HPC environments.
- Preferred: experience with cloud platforms and large-scale data tools (Azure, Databricks).
The expected starting pay range for this role is $86,000 - $108,000 USD. In addition to base pay, there is a bonus structure for full-time employees of all levels. Benefits include medical, dental, vision, disability insurance, life insurance, voluntary benefits, family care benefits, employee assistance program, paid time off, bonding leave, paid holidays, 401(k) retirement plan with employer contribution, and employee referral bonuses.
Pattern Energy Group is an Equal Opportunity Employer.
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