Senior Data Analyst Level 2

The NOAA Center for Satellite Applications and Research (STAR) is the science arm of NOAA’s Satellite and Information Services, which acquires and manages the nation’s environmental satellites. STAR scientists lead efforts to develop, test, validate, and refine the science algorithms needed to drive user-defined products. They also investigate both enhanced and new sensor technology for future NOAA satellite missions and conduct research to examine which products users will need to carry out NOAA's mission goals. STAR supports the calibration and validation of all data in NOAA's satellite operations and develops new methods for inter-calibrating data from NOAA polar and geostationary satellites with other satellites in the evolving international system. Additionally, STAR collaboratively develops efficient methods and technology to transfer new products from research to operations.

Riverside is seeking a mid-level scientific analyst to support NOAA’s Center for Satellite Applications and Research (STAR). The work will entail using knowledge and 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 includes investigating new techniques and new observing systems, and evaluating their potential impact on products. It also includes developing product assessment tools, designing and developing 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 associated with both regional and global data assimilation systems and techniques and is ideally familiar with observation system experiments (OSE) and observation system simulation experiments (OSSE).

Requirements

• Minimum bachelor’s degree in computer science, information systems, software engineering, or remote sensing-related scientific field to include atmospheric sciences, oceanography, physics or similar; Master’s Degree desired
• 4-10 years’ experience in scientific analysis
• 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
• Ability to perform independent assessments of proposed concepts
• Ability to produce scientific reports and presentations
• Ability to effectively communicate technical information and work status accurately and reliably to project leads and managers
• US citizen preferred; Must be able 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
• Work From Home hybrid