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Senior Meteorologist

Atmospheric Analytics Group
Boulder
Salary Estimate
USD 98.000 – USD 125.000
Posting Time
2 Mei 2026
Deadline
2 Mei 2027

Job description

Atmospheric Analytics Group is seeking a passionate and experienced Senior Meteorologist to join our innovative team in Boulder, Colorado. Play a pivotal role in advancing climate science, enhancing weather prediction models, and providing actionable insights for clients across diverse industries.

If you thrive in a fast-paced environment and are ready to shape the future of atmospheric analytics, this is your opportunity.

Responsibility

  • Lead research initiatives focused on improving mesoscale and global weather prediction accuracy.
  • Analyze complex meteorological data from remote sensing, satellites, and ground observations.
  • Develop and refine numerical weather models using state-of-the-art methodologies.
  • Collaborate with cross-functional teams to design tailored solutions for industry partners.
  • Produce authoritative weather reports, forecasts, and risk assessments.
  • Mentor junior meteorologists and provide technical guidance to project teams.
  • Stay up-to-date with emerging climate trends and computational approaches.
  • Represent the organization at conferences and industry events.

Qualification

  • Master's degree or PhD in Meteorology, Atmospheric Science, or closely related field.
  • Minimum 5 years of professional experience in operational forecasting or applied meteorological research.
  • Expertise in numerical weather prediction, climate modeling, and data assimilation techniques.
  • Proficiency with Python, MATLAB, R, or similar programming languages.
  • Experience with GIS and meteorological visualization tools.
  • Excellent communication skills for presenting complex findings to diverse audiences.
  • Proven track record of published research or successful industry projects.
  • Strong collaborative and leadership capabilities.

Required Skills

meteorology weather modeling numerical prediction Python climate science data analysis GIS remote sensing leadership

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