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Climate and Weather Data Analytics Developer
Lawrence Livermore National Laboratory
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  • Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. Citizenship.
  • M.S. Degree in atmospheric science, oceanography, earth science, physics, engineering, data science or closely related field, or the equivalent combination of education and related experience.
  • Experience in Linux/Unix operating systems and shell programming.
  • Experience programming in Python.
  • Ability to work on multiple tasks and meet deadlines.
  • Proficient verbal and written communication skills necessary to independently write reports and exchange technical information with colleagues.
  • Possession of the interpersonal skills necessary to work in a diverse, multidisciplinary research team.
  • Ability to travel as required.

Desired Qualifications

  • Experience with statistical analysis, data science, uncertainty quantification, ensembles and/ machine learning.
  • Experience working with ~terabyte-sized model output and observational data sets using NetCDF, HDF or similar self-describing formats.
  • *Experience working with scientists in atmospheric science, oceanography, climate science, or closely related field and knowledge of fundamentals and best practices of modern software development (e.g., GitHub, Anaconda).
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About Lawrence Livermore National Laboratory
For more than 60 years, the Lawrence Livermore National Laboratory has applied science and technology to make the world a safer place.Livermore’s defining responsibility is ensuring the safety, security and reliability of the nation’s nuclear deterrent. Yet LLNL’s mission is broader than stockpile stewardship, as dangers ranging from nuclear proliferation and terrorism to energy shortages and climate change threaten national security and global stability. The Laboratory’s science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security.
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