Job ID: 2303916
Location: PRINCETON, NJ, United States
Date Posted: May 4, 2023
Subcategory: SW Engineer
Shift: Day Job
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: No Remote
Benefits: Click here
SAIC is hiring a Scientific Programmer with expert experience in R Programming language, concentrating on Statistical Programming and Data Analysis to support the NOAA GFDL program in Princeton, NJ. The GFDL Statistical Downscaling team seeks to modernize, scale, and expand the team’s existing data science and analytics system, in order to keep pace with the use of more sophisticated mathematical techniques in the field and to better meet requests from NOAA and its partners.
The right candidate will have experience that encompasses a combination of programming skills (R) and statistics/applied math knowledge. The candidate should have a demonstrated ability to work independently within a team environment, effectively manage and prioritize multiple concurrent tasks or projects, creative problem solving, and demonstrate keen attention to detail. Overarching goals are to support, enhance, and expand a modular software and data management infrastructure used to conduct bias correction and statistical downscaling experiments so as to enable thorough, scientifically-sound analyses of climate data products commonly used in applied climate research studies. Developing robust and reliable code that advances the team’s research capabilities requires sufficient understanding of the mathematical methods being deployed, as well as coding skills.
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.
SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.
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