SAIC Job - 49717116 | CareerArc
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Company: SAIC
Location: College Park, MD
Career Level: Entry Level
Industries: Technology, Software, IT, Electronics

Description

Description

SAIC is seeking a Marine Post-Processing Scientist to support the National Centers for Environmental Prediction (NCEP) at the Environmental Modeling Center (EMC). This ideal candidate will serve as a member of the Post-Processing team within the Verification and Product Generation Branch (VPPPGB) in a highly collaborative environment. The candidate will demonstrate in developing, maintaining, and supporting ocean, wave and ice post-processed products from EMC's suite of global and regional Earth System Models (ESMs). This will entail a particular focus on transitioning to a next generation calibrated suite of model-integrated and post-processed guidance in support of the National Weather Service (NWS) probabilistic Impact-Based Decision Support Services (IDSS) roadmap. The incumbent will be expected to communicate scientific results via both oral presentation briefings and written reports to internal and external customers, and will have direct interaction with NOAA scientists, NCEP centers, NWS forecast offices, and academic partners.

Responsibilities Include:

● Provide general support for post-processing and product generation software for the ocean, wave, and ice components of global and regional ESMs, including creating new products and maintaining legacy data products.
● Develop software for global and regional ocean, wave, and ice models post-processing and products while following guidelines and ideas from the NWS probabilistic IDSS roadmap.
● Interact with NWS/NCEP/EMC and external partner domain scientists and engineers.
● Adhere to DOC/NOAA/NWS Information Technology policies and procedures.
● Adhere to project-specific software development guidelines and practices.
● Complete scientific projects in a timely fashion according to internal and external schedules.
● Actively contribute to review of scientific ideas at status/technical meetings.
● Contribute to a monthly task status report.
● Report regularly to senior project managers on project task completion status.

Qualifications

Requirements Include:

●.At least an M.S. or equivalent experience in oceanography, mathematics, or a related physical science.

●.Strong experience working with ocean, wave, and ice data output from both deterministic and ensemble based global and regional scale ESMs.
● Strong experience working in a high-performance supercomputer UNIX environment with advanced scripting languages such as Python and the korn shell.
● Strong knowledge of computing languages such as Fortran, C, and C++.
● Experience/familiarity with tripolar grids and triangular-unstructured grids.
● Ability to visualize model output using Python scripting and libraries, GEMPAK, or other visualization software.
● Demonstrated knowledge with using GitHub to manage software repositories and projects.
● Demonstrated skill in communicating effectively with scientists of diverse backgrounds, and the ability to present results accurately and clearly in both oral and written form.
● Knowledge of common meteorological data formats, such as BUFR, NetCDF, HDF, and GRIB, etc.
● Some knowledge of using web page technology and languages (HTML, Javascript, CSS etc.) to display model output data.
● Ability to work independently and in a team environment on complex problems.
● Demonstrated skill in performing tasks requiring organization and attention to detail.

Desired Skills:
● Familiarity with environmental datasets, including observations and ensemble-based model output.
● Ability to work in a fast-paced environment.
● Demonstrated skill in performing tasks requiring organization and attention to detail.
● Knowledge of statistical principles and strong analytical skills.
● Desire to explore and apply Artificial Intelligence/Machine Learning techniques to model product output on global model timescales.
● A passion for the National Weather Service mission.
● Ability to accept assigned tasking, but also engage as a creative self-starter.
● Ability to work both independently and collaboratively.
● Driven by curiosity and willing to try new techniques and learn new skills.
● Ability to remain flexible as projects and tasks evolve.


SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.


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