Energy Systems Modeler

Pattern Energy Group•San Francisco, CA

12h•Hybrid

About The Position

The Energy Modeler role utilizes Pattern’s internal capacity expansion and production cost modeling suite (WIS:dom) to analyze North American energy markets and develops a comprehensive view of the current Pattern pipeline of construction, operating asset performance, and market dynamics that might create opportunities or risks. The role will assist ESP providing business actionable analysis to other departments of Pattern, including evaluating the value of assets, supporting operation, and incorporating complex grid and weather data into other business decisions.

Requirements

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 of understanding of capacity expansion and production cost modeling either commercial (e.g., AURORA, SERVM, RESOLVE, PLEXOS, GE MAPS, PROMOD, UPLAN) or open source (e.g., ReEDs, PyPSA, GenX, TIMES)
Familiarity with optimization techniques and algorithms (e.g., linear programming, Monte Carlo simulations)
Knowledge of energy systems (renewable and conventional) and grid operations
Ability to work with large datasets, ensuring data integrity and reliability
Strong problem-solving skills for complex energy scenarios
Ability to manage deadlines, coordinate across teams, and handle multiple modeling tasks simultaneously
Excellent programming skills in languages commonly used for energy modeling (e.g., Python, GAMS, Julia)
Experience with software development best practices (e.g., version control with Git)
Familiarity with high performance computing (HPC) environments

Nice To Haves

experience with cloud platforms and large-scale data tools (e.g., Azure, Databricks)

Responsibilities

evaluate and update the codebase underlying the WIS:dom model to understand, improve, or add functionality to the code
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
Execute model simulations using the WIS:dom suite of tools
Provide output analysis of these simulations to the ESP team and external groups
Simulate energy systems under different scenarios (e.g., policy changes, technology adoption, or market fluctuations)
Conduct forecasting for energy demand and supply, over different time horizons (hours to years)
Integrate large datasets into the modeling framework
Gather and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints
Find available market data and translate data into modeling WIS:dom parameters and maintain version control and documentation of changes
Automate repetitive tasks and enhance existing workflows to improve modeling accuracy and efficiency
Translate complex model outputs into actionable insights for decision-makers, including engineers, project managers, and policymakers
Work with multidisciplinary teams, including modelers, developers, analysts, GIS, and transmission analysts to align models with real-world conditions and objectives
Assist development of Pattern mathematical models and simulations of energy systems (WIS:dom modeling suite)
Make customizations to WIS:dom branches and assumptions that could impact Pattern business decisions