Senior Data Analyst Level 3

The NOAA Center for Satellite Applications and Research (STAR) is the scientific branch of NOAA’s Satellite and Information Services, responsible for acquiring and managing the nation's environmental satellites. STAR scientists take the lead in the development, testing, validation, and refinement of scientific algorithms essential for creating user-specified products. They also explore enhanced and new sensor technology for future NOAA satellite missions and conduct research to determine which products will be necessary to fulfill NOAA's mission objectives. STAR aids in calibrating and validating all data within NOAA's satellite operations and devises new procedures for inter-calibrating data from NOAA polar and geostationary satellites with other satellites in the emerging international system. Furthermore, STAR jointly develops effective methods and technology to transfer new products from research to operations. Riverside is in search of a mid-level scientific analyst to assist NOAA’s Center for Satellite Applications and Research (STAR). The task will involve using expertise to research and develop new and innovative uses of satellite data to help coordinate efforts between NESDIS/STAR and commercial, university, and/or private partners/companies. It involves investigating new techniques and new observing systems, and evaluating their potential impact on products. Responsibilities also include developing product assessment tools, designing and creating scientific applications, code integration, porting, testing, debugging, releasing and maintaining code, and documenting software applications in both standard and High Performance Computing (HPC) environments. The successful applicant should have knowledge and skills related to both regional and global data assimilation systems and techniques, and ideally familiar with observation system experiments (OSE) and observation system simulation experiments (OSSE). Requirements - A minimum bachelor’s degree in computer science, information systems, software engineering, or a related scientific field such as atmospheric sciences, oceanography, physics; a Master’s Degree is desirable. - 4-10 years’ experience in scientific analysis. - The ability to work with a team of Federal and contractor personnel to perform advanced scientific programming and numerical analysis to solve physical problems. - Strong Coding Computer Skills in Python. - Knowledge of satellite data assimilation, numerical weather prediction, radiative transfer, retrieval algorithms, and satellite observations data. - 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/or PyTorch. - Experience performing data analysis on large environmental datasets and with scientific code. - The ability to perform independent assessments of proposed concepts. - The ability to produce scientific reports and presentations. - The ability to effectively communicate technical information and work status accurately and reliably to project leads and managers. - Preference for US citizens; applicants must be eligible to obtain and maintain a national agency check and background investigation after hire. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Short Term & Long Term Disability - Training & Development - Hybrid work from home brewing.