Jobs · Information Technology · Oregon

Meteorologist

Portland General Electric · Tualatin, OR · 1 mo ago
Information TechnologyFull-time

Primary Job Responsibilities

  • Interpret meteorological data and forecasts to produce a daily impacts-based forecast and briefing for operations
  • Work collaboratively with meteorologists, data scientists and risk modeling team to support development of predictive modeling for outage and ignition probability
  • Advance the development of meteorological tools for fire environment analysis
  • Develop and maintain user interfaces for meteorology tools that provide actionable situational awareness insights
  • Analyze historical weather data to support fire environment and impactful weather event analysis
  • Effectively communicate findings from data analysis and forecast information to deliver reports to a variety of stakeholders
  • Collaborate with diverse teams to develop plans and procedures
  • Serve on the PGE incident management team when the Emergency Operations Center is activated supporting situational awareness and incident response operations, including public safety power shutoffs to mitigate the risk of wildfires

Secondary Job Responsibilities

  • Assist storm preparedness and power restoration efforts by providing concise, detailed forecasts during periods of extreme weather to a variety of stakeholders

Qualifications

  • Education: Bachelor’s degree in Meteorology, Atmospheric Sciences, or related area of study
  • Experience: Typically 5+ years in operational weather forecasting, prefer 2+ years in fire weather forecasting (including completion of S290: Introduction to Wildland Fire Behavior)
  • Demonstrated knowledge of meteorological phenomena, fire science/behavior, climatology, geography, forecasting techniques, weather model analysis, data science and programming languages
  • Proficiency in using meteorological software, tools, and data sources
  • Ability to ingest, decode, analyze, and visualize meteorological observational and model data
  • Demonstrated experience and expertise in the utilization of Python for geospatial data analysis
  • Thorough understanding of various probabilistic and ensemble forecasting methodologies, with particular emphasis on the utilization of probabilistic numerical weather prediction methods for determination and presentation of various weather risks
  • Knowledge of Pacific Northwest meteorology
  • Experience preparing findings and presenting complex technical information to both technical and nontechnical audiences
  • Excellent organizational skills and ability to efficiently handle multiple projects and requests
  • Three years of weather forecasting experience in the energy and/or utilities sector
  • Thorough knowledge of fire/wildfire behavior, the National Fire Danger Rating System, and completion of wildland fire classes such as: S-390: Intermediate Wildland Fire Calculations, S-490: Advanced Fire Behavior Calculations
  • Thorough knowledge and experience with: Database creation and manipulation, data management platforms, data collection, storage, and management Data visual analytics platforms: PowerBI and Neara Various numerical analysis packages Pandas, Scikit Learn, Scipy, etc.
  • Leveraging and building out capabilities in Neara
  • Thorough knowledge and experience with interpreting climate models
  • Experience briefing stakeholders on the potential for extreme weather and impacts to business as it pertains to both market and operational utility operations

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