Portland General Electric
Energy
Meteorologist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Meteorologist at Portland General Electric. Skills: Operational forecasting, Fire weather forecasting, Data science, Predictive modeling. Create daily forecast. Provide operational briefings”
What You'll Achieve.
Keep operations informed; Keep emergency management informed; Mitigate wildfire risk; Advance forecasting capabilities; Provide actionable insights; Support risk assessments
Industry & Context.
Analytical thinking; Data analysis; Troubleshooting; Root cause analysis
Shift work, Extended hours, Variable schedule, Occasional travel within service territory, Occasional overnight travel, Work during severe weather
What They're Looking For.
Must Have
Bachelor's degree in Meteorology, 5+ years operational weather forecasting, 2+ years fire weather forecasting
Nice to Have
Knowledge of meteorological phenomena, Knowledge of fire science behavior, Knowledge of climatology, Knowledge of geography, Knowledge of forecasting techniques, Knowledge of weather model analysis, Knowledge of data science, Knowledge of programming languages, Proficiency in meteorological software, Proficiency in meteorological tools, Proficiency in meteorological data sources, Experience ingesting meteorological data, Experience decoding meteorological data, Experience analyzing meteorological data, Experience visualizing meteorological data, Experience with Python for geospatial data analysis, Understanding of probabilistic forecasting, Understanding of ensemble forecasting, Knowledge of Pacific Northwest meteorology, Experience presenting technical information, 3 years weather forecasting in energy sector, 3 years weather forecasting in utilities sector, Knowledge of fire behavior, Knowledge of National Fire Danger Rating System, Completion of wildland fire classes, Experience with database creation, Experience with database manipulation, Experience with data management platforms, Experience with data collection, Experience with data storage, Experience with data management, Experience with PowerBI, Experience with Neara, Experience with Pandas, Experience with Scikit Learn, Experience with Scipy, Experience leveraging Neara, Experience building Neara capabilities, Experience interpreting climate models, Experience briefing stakeholders on extreme weather
What You'll Do.
Create daily forecast
Provide operational briefings
Inform operations of weather
Inform emergency management of weather
Forecast critical fire weather patterns
Produce seasonal weather outlooks
Lead development of predictive models
Support development of predictive models
Support development of tools
Support development of dashboards
Support development of forecast products
Serve on incident management team
Support situational awareness
Support incident response operations
Support public safety power shutoffs
Interpret meteorological data
Produce impacts-based forecast
Produce daily briefing
Work with meteorologists
Work with data scientists
Work with risk modeling team
Support predictive modeling development
Advance meteorological tools development
Develop fire environment analysis tools
Develop user interfaces
Provide actionable insights
Analyze historical weather data
Support fire environment analysis
Support impactful weather event analysis
Communicate data analysis findings
Communicate forecast information
Deliver reports to stakeholders
Develop plans with diverse teams
Develop procedures with diverse teams
Develop relationships with stakeholders
Collaborate with internal stakeholders
Collaborate with external stakeholders
Collaborate with data scientists
Collaborate with project managers
Collaborate with engineering
Collaborate with operations
Collaborate with analysts
Collaborate with leadership
Develop data driven solutions
Assist managing weather station network
Assist siting new weather stations
Assist managing network data
Provide weather analysis for risk assessments
Develop wildfire risk assessments
Refine wildfire risk assessments
Provide forecasts during extreme weather
Provide detailed forecasts during extreme weather
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Risk modeling team; Diverse teams; Internal stakeholders; External stakeholders; Project managers; Engineering teams; Operations teams; Analysts; Leadership
Communication Scope
Briefings; Presentations; Reporting
Full Job Description
At PGE, our work involves dreaming about, planning for, and realizing a smarter, cleaner, more enduring Oregon neighborhood. Its core to our DNA and we haven’t stopped since we started in 1888. We energize lives, strengthen communities and drive advancements in energy that promote social, economic and environmental progress. We’re always on the lookout for people passionate about leading and being a part of teams that are advancing innovative clean energy solutions that are also affordable and accessible to all. **Meteorologist** Portland General Electric is seeking a meteorologist with skills in operational and fire weather forecasting, as well as data science. The primary responsibility will be to create a daily forecast to and provide briefings to keep operations and emergency management informed of potentially impactful weather including wind, ice, snow, and fire. The candidate must have expertise in forecasting critical fire weather patterns that lead to high fire danger. The successful candidate will also produce seasonal weather outlooks, lead or support the development of predictive models, and support the development of tools, dashboards, and other forecast products to advance forecasting and fire environment analysis. This position will also 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. **Primary Job Responsibilities:** * Interpret meteorological data and forecasts to produce a daily impacts-based forecast and briefing for operations * With a strong understanding of both probabilistic and deterministic modeling, 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 mainta
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