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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 of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in the United States, Pattern has a global portfolio of more than 30 power facilities and transmission assets, serving various customers that provide low-cost clean energy to millions of consumers.
Responsibilities
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.
Assists 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.
Evaluates and updates the codebase underlying the WIS:dom model to understand, improve, or add functionality to the code.
Understands and processes model inputs in the context of current markets and business needs.
Runs WIS:dom optimization models to support business decisions.
Analyzes and communicates results to business partners.
Executes model simulations using the WIS:dom suite of tools.
Provides output analysis of these simulations to the ESP team and external groups.
Simulates energy systems under different scenarios (e.g., policy changes, technology adoption, or market fluctuations).
Conducts forecasting for energy demand and supply, over different time horizons (hours to years).
Integrates large datasets into the modeling framework.
Gathers and validates input data for models, including energy demand, resource availability, market trends, and environmental constraints.
Finds available market data and translates data into modeling WIS:dom parameters and maintains version control and documentation of changes.
Automates repetitive tasks and enhances existing workflows to improve modeling accuracy and efficiency.
Translates complex model outputs into actionable insights for decision-makers, including engineers, project managers, and policymakers.
Works with multidisciplinary teams, including modelers, developers, analysts, GIS, and transmission analysts to align models with real-world conditions and objectives.
Assists development of Pattern mathematical models and simulations of energy systems (WIS:dom modeling suite).
Makes customizations to WIS:dom branches and assumptions that could impact Pattern 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
Preferred: experience with cloud platforms and large-scale data tools (e.g., Azure, Databricks).
Benefits
medical
dental
vision
short and long-term disability
life insurance
voluntary benefits
family care benefits
employee assistance program
paid time off and bonding leave
paid holidays
401(k)/RRSP retirement savings plan with employer contribution
