Key Accountabilities
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.
Qualifications
Experience/Qualifications/Education Required
Education
Bachelor’s and/or master’s in electrical engineering, economics, mathematics, or a related quantitative field (power system emphasis desired).
Experience/Qualifications
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.
Technical Skills
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.
Preferred: experience with cloud platforms and large-scale data tools (e.g., Azure, Databricks).
The expected starting pay range for this role is $86,000 - $108,000 USD. This range is an estimate and base pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education. In addition to base pay, Pattern’s compensation program includes a bonus structure for full-time employees of all levels. We also provide a comprehensive benefits package which includes 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, and employee referral bonuses.
Pattern Energy Group is an Equal Opportunity Employer.
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