Operational Meteorologist: Forecast Briefings & Uncertainty

Alto Cirra

Salt Lake City (UT)

Híbrido

USD 85.000 - 120.000

Jornada completa

hace 37 horas
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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model
Professional development budget
15 days vacation
10 company holidays
5 paid sick days
75% employer health premium
Travel reimbursement
$1,500 annual budget for development

Descripción de la vacante

Alto Cirra, headquartered in Salt Lake City, Utah, seeks a meteorology-focused professional to turn weather data into actionable briefings for operational planning. The role emphasizes honest communication of uncertainty and collaboration with operations and research teams.

Qualifications include a meteorology or atmospheric science degree and 2+ years of forecasting experience, with Python and geospatial analysis as preferred tools.

Formación

  • Degree in meteorology, atmospheric science or a related quantitative discipline, or equivalent demonstrated forecasting expertise.
  • 2+ years of operational forecasting, applied research or comparable relevant experience.
  • Ability to interpret radar, satellite, surface observations and numerical model guidance.
  • Clear briefing skills and careful communication of forecast uncertainty and data limitations.

Responsabilidades

  • Prepare forecast briefings for operational planning.
  • Assess storm conditions and communicate confidence and uncertainty.
  • Monitor the quality of weather data and observations.
  • Work with operations and research on decision criteria.
  • Contribute to post-event analysis and documentation.

Conocimientos

Meteorology
Forecasting
Data analysis
Briefing skills
Radar/satellite interpretation

Educación

Degree in meteorology or atmospheric science

Herramientas

Python
Geospatial analysis

Descripción del empleo

Alto Cirra, headquartered in Salt Lake City, Utah, seeks a meteorology-focused professional to turn weather data into actionable briefings for operational planning. The role emphasizes honest communication of uncertainty and collaboration with operations and research teams.

Qualifications include a meteorology or atmospheric science degree and 2+ years of forecasting experience, with Python and geospatial analysis as preferred tools.

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