Energy Systems Modeler: Forecasting & Optimization

Pattern Energy; San Francisco (CA); On-site; USD 86,000 - 108,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan with employer contribution

Paid time off and holidays

Job summary

Pattern Energy, a leading renewable energy company in San Francisco, is seeking a professional to execute model simulations and integrate large datasets using the WIS:dom suite. Aiming for sustainability, the role involves collaboration with cross-functional teams to align models with real-world conditions and deliver actionable insights to decision-makers.

The ideal candidate holds a bachelor's or master's in a quantitative field and has 3-5 years of relevant experience. Compensation ranges from $86,000 to $108,000 USD with additional benefits.

Qualifications

• 3-5 years of experience in energy trading or energy industry analytics.
• High-level understanding of capacity expansion and modeling.
• Ability to manage deadlines and coordinate across teams.

Responsibilities

• Execute model simulations using the WIS:dom suite and provide output analysis.
• Integrate large datasets and validate input.
• Automate tasks and enhance workflows.
• Translate outputs into actionable insights.
• Collaborate with multidisciplinary teams to align models.
• Make customizations that impact decision-making.

Skills

Programming skills in Python

Experience with GAMS

Experience with Julia

Familiarity with optimization techniques

Strong problem-solving skills

Education

Bachelor’s and/or master’s in electrical engineering, economics, mathematics, or related quantitative field

Tools

Git for version control

Cloud platforms like Azure

Databricks

Job description

Pattern Energy, a leading renewable energy company in San Francisco, is seeking a professional to execute model simulations and integrate large datasets using the WIS:dom suite. Aiming for sustainability, the role involves collaboration with cross-functional teams to align models with real-world conditions and deliver actionable insights to decision-makers.

The ideal candidate holds a bachelor's or master's in a quantitative field and has 3-5 years of relevant experience. Compensation ranges from $86,000 to $108,000 USD with additional benefits.