Portland General Electric
Meteorologist
Tualatin, Oregon · Part-time
Sponsorship not specifiedDetected 30 days ago
PythonPandasData AnalysisData ScienceIncident ResponseForecastingLeadershipCommunicationProblem SolvingPublic SpeakingOrganizational SkillsRisk Modeling
About the role
- 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.
- Meteorologist Portland General Electric is seeking a meteorologist with skills in operational and fire weather forecasting, as well as data science.
Responsibilities
- 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
- Develop relationships and collaborate with both internal and external stakeholders, data scientists, project managers, engineering, operations, analysts and leadership to develop data driven solutions for weather, climate, and risk assessment models
- Provide weather analysis to support wildfire risk assessments including development or refinement of High Fire Risk Zones
Requirements
- The candidate must have expertise in forecasting critical fire weather patterns that lead to high fire danger.
- Bachelor's degree in Meteorology, Atmospheric Sciences, or related area of study
- 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
- Required:
- Education: Bachelor's degree in Meteorology, Atmospheric Sciences, or related area of study
- Preferred Qualifications:
- 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
Nice to have
- 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
- 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
Compensation
- Actual total compensation, including a performance based incentive bonus, is commensurate with experience, skills, qualifications, education, training, and internal equity.
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