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Pattern Energy Group

Develops, finances, and operates renewables.

Energy Systems Modeler

Power Systems EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's and/or master's degree in electrical engineering, economics, mathematics, or a related quantitative field is required; power systems emphasis is desired.
  • Three to five years of experience in energy trading, renewables development, or energy-industry forecasting, analytics, or research is required.
  • A high level of understanding of capacity expansion and production cost modeling using commercial tools such as AURORA, SERVM, RESOLVE, PLEXOS, GE MAPS, PROMOD, or UPLAN, or open-source tools such as ReEDs, PyPSA, GenX, or TIMES, is required.
  • Familiarity with optimization techniques and algorithms, such as linear programming and Monte Carlo simulations, is required.
  • Knowledge of renewable and conventional energy systems and grid operations is required.
  • Ability to work with large datasets while ensuring data integrity and reliability is required.
  • Strong problem-solving skills for complex energy scenarios are required.
  • Ability to manage deadlines, coordinate across teams, and handle multiple modeling tasks simultaneously is required.
  • Excellent programming skills in commonly used energy-modeling languages such as Python, GAMS, or Julia are required.
  • Experience with software-development best practices, including version control with Git, is required.
  • Familiarity with high-performance computing environments is required.

Responsibilities

  • Execute simulations using the WIS:dom modeling suite and analyze the outputs for the ESP team and external groups.
  • Simulate energy systems under scenarios such as policy changes, technology adoption, and market fluctuations.
  • Forecast energy demand and supply across time horizons ranging from hours to years.
  • Integrate large datasets into the modeling framework.
  • Gather and validate model input data, including energy demand, resource availability, market trends, and environmental constraints.
  • Find available market data and translate it into WIS:dom parameters; maintain version control and document changes.
  • Automate repetitive tasks and improve existing workflows to increase modeling accuracy and efficiency.
  • Translate complex model outputs into actionable insights for engineers, project managers, policymakers, and other decision-makers.
  • Work with modelers, developers, analysts, GIS specialists, and transmission analysts to align models with real-world conditions and objectives.
  • Assist with development of Pattern mathematical models and energy-system simulations using the WIS:dom modeling suite.
  • Customize WIS:dom branches and assumptions that could affect Pattern business decisions.
  • Evaluate and update the codebase underlying WIS:dom to understand, improve, or add functionality.
  • Understand and process model inputs in the context of current markets and business needs.
  • Run WIS:dom optimization models to support business decisions.
  • Analyze and communicate results to business partners.

Desired Qualifications

  • Experience with cloud platforms and large-scale data tools such as Azure or Databricks is preferred.
  • A power systems emphasis in the degree is desired.

About the Company

Pattern Energy Group

Develops, finances, and operates renewables.

Pattern Energy develops, owns, and operates utility-scale wind, solar, and energy storage projects, plus the transmission lines that move power, across North America, Japan, and Mexico. It manages the full project lifecycle—from development and financing to construction, ownership, and long-term operation—selling electricity mainly through long-term power purchase agreements to utilities and other load-serving entities. The company differentiates itself with an integrated ownership model backed by CPPIB and Riverstone, a cross-border portfolio, and a focus on owning and operating the assets and transmission, not just development. Its goal is to grow installed capacity and secure stable, long-term cash flows by expanding its portfolio and completing major infrastructure projects, targeting continued expansion beyond its roughly 6.0 GW of installed capacity.

Company size
501-1,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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