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Numerical Weather Prediction Specialist

Job ID: 204928
Location: OMAHA, NE, United States
Date Posted: Jun 30, 2020
Category: Software
Subcategory: SW Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 25 % of the Time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Secret
Potential for Teleworking: No

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Job Description

Description

We are looking for candidates passionate about craftsmanship, teamwork, and delivering user capability to join SAIC supporting the Air Force weather community on the Technology Application Development & Sustainment (TADS) contract. 

The Numerical Weather Prediction (NWP) Scientist will provide scientific leadership and subject matter expertise to support and enhance NWP capabilities derived from a variety of models including, but not limited to, WRF, GFS, and the UK Met Office Model. Key tasks involve applying data assimilation techniques, developing new applications exploiting NWP data, verifying model output against observational data, working with data scientists to develop and implement machine learning and artificial intelligence methods for weather forecasting, and developing new techniques to analyze and predict the global cloud field, while working in an AWS high-performance computing (HPC) environment. The NWP Scientist will create and enhance innovative solutions that satisfy Air Force operational weather analysis and forecasting needs while working on an Agile team with scientists, data scientists, and software development staff. 


Successful candidates will demonstrate the following characteristics:

  • Growth Mindset
  • Self-Starter
  • Servant Leadership
  • Grit

Qualifications

Requirements:

  • B.S. in Meteorology or equivalent with a specialization in Numerical Weather Prediction
  • 3-5 years experience working with operational NWP models or equivalent environmental modeling systems
  • Experience with WRF, GFS, MM5, or other NWP systems.
  • Experience with Python and FORTRAN.
  • Experience developing and verifying NWP algorithms and software systems.
  • Knowledge of meteorological data formats like METAR, GriB, NetCDF, etc.
  • Familiarity with Agile methodologies (Scrum, XP, Kanban, Lean, Theory of Constraints)
  • Must be a US Citizen
  • Must be able to obtain Secret Clearance

Preferred Requirements:

  • M.S. or Ph.D. in Meteorology.
  • 5-9 years experience working with operational NWP models or equivalent environmental modeling systems
  • Experience with variational data assimilation.
  • Experience developing atmospheric cloud modeling applications
  • Experience leveraging machine learning and/or artificial intelligence methods for environmental science.
  • Experience with Air Force weather forecasting.
  • Familiarity with the Air Force CDFS-II system
  • Experience with HPC in a cloud-based environment.
  • Familiarity with configuration management tools (Git, Mercurial, ...)
  • Familiarity with Continuous Integration/Continuous Delivery concepts and enabling tools such as Jenkins, Maven, and Ansible
  • CompTIA Security+
  • Active Secret Clearance

Work location:
  • Mix of on-site and remote work

#AirForce #Army #SAIC




Overview

SAIC is a premier technology integrator solving our nation's most complex modernization and readiness challenges. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes high-end solutions in engineering, IT, and mission solutions. Using our expertise in existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions. We are 25,500 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has pro forma annual revenues of nearly $7.1 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom. For SAIC benefits information, see Working at SAIC. EOE AA M/F/Vet/Disability

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