Senior Data Analyst Level 2

The NOAA Center for Satellite Applications and Research (STAR) is the scientific division of NOAA’s Satellite and Information Services, responsible for procuring and managing the nation's environmental satellites. Scientists at STAR lead initiatives for the development, testing, validation, and refinement of scientific algorithms required for personalized products. They also explore enhanced and novel sensor technology for future NOAA satellite missions and conduct research to identify what products users will need to fulfill NOAA's mission objectives. STAR supports the calibration and validation of all data in NOAA's satellite operations and develops new methodologies for the inter-calibration of data from NOAA polar and geostationary satellites with other satellites within the international system. Additionally, STAR collaboratively develops efficient processes and technological solutions to transfer new products from research to operations. Riverside is recruiting a mid-level scientific analyst to assist NOAA’s Center for Satellite Applications and Research (STAR). The role involves utilizing knowledge and expertise to devise innovative uses for satellite data to assist coordination between NESDIS/STAR and commercial, university, and/or private partners/companies. Work includes investigating new methods and novel observational systems and assessing their potential impact on products. It also includes the creation of product assessment tools, the design and development of scientific applications, code integration, porting, testing and debugging, releasing and maintaining code, and documenting software applications in both standard and High Performance Computing (HPC) environments. The successful candidate will have knowledge and skills pertaining to both regional and global data assimilation systems and techniques and is preferably familiar with observation system experiments (OSE) and observation system simulation experiments (OSSE). Requirements A minimum of a bachelor’s degree in computer science, information systems, software engineering, or a related scientific field such as atmospheric sciences, oceanography, physics or similar; a Master’s degree is desired. 4-10 years’ experience in scientific analysis Experience working with a team of Federal and contractor personnel to conduct advanced scientific programming and numerical analysis to solve physical problems Strong coding skills in Python Knowledge of satellite data assimilation, numerical weather prediction, radiative transfer, retrieval algorithms, and satellite observation data Experience working on Operating Systems: Linux, High Performance Computing Platforms Knowledge of applying advanced numerical methods, artificial intelligence, and machine learning to large datasets using software libraries such as Keras, TensorFlow, and PyTorch Experience in performing data analysis on large environmental datasets and with scientific code Ability to conduct independent assessments of proposed concepts Ability to generate scientific reports and presentations Ability to communicate technical information and work status accurately and reliably to project leads and managers US citizenship preferred; applicants must be able to obtain and maintain a national agency check and background investigation after hire Benefits Health Care Plan (Medical, Dental, and Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary, and AD&D) Paid Time Off (Vacation, Sick, and Public Holidays) Short Term and Long Term Disability Training and Development Hybrid Work From Home option