Job Description:
Position Summary
Analytical Mechanics Associates (AMA), as part of the Research, Science, and Engineering Services (RSES) contract, seeks an experienced Data Analyst to join the CLARREO Pathfinder (CPF) Intercalibration Team and contribute to a flagship NASA Earth science mission focused on improving the accuracy and consistency of satellite observations. The Data Analyst will support the development, validation, and implementation of sophisticated intercalibration data analysis frameworks used to verify project requirements, evaluate science algorithms, and perform mission-critical analyses across multiple intercalibration targets.
The successful candidate will conduct scientific studies, statistical analyses, uncertainty assessments, and data product validation activities using CPF observations, simulation datasets, and reference targets. This position offers the opportunity to collaborate with scientists, engineers, and analysts within a highly visible and productive research team supporting NASA's Science Directorate.
For more information about the mission, visit: https://clarreo-pathfinder.larc.nasa.gov/
This is an onsite position and the salary range is $35.42/hour - 53.14/hour USD
Key Responsibilities
- Conduct intercalibration sampling studies, data analysis, validation activities, and related investigations supporting comparisons between CPF and designated intercalibration targets.
- Evaluate the performance of intercalibration science algorithms and validate algorithm outputs against mission requirements.
- Develop, refine, and maintain CPF-target intercalibration analysis methodologies using:
- CPF Level-1A High-Fidelity Simulator datasets
- Existing target datasets
- Additional proxy datasets as appropriate
- Perform intercalibration analyses using measured Level-1 data products and various calibration targets, including:
- Satellite instruments
- Ground-based land sites
- Lunar observations
- Other designated reference targets
- Conduct statistical analyses and quantify uncertainty propagation throughout the processing chain, including the characterization of aggregate uncertainties.
- Assess the feasibility of CPF intercalibration approaches across a variety of targets and estimate anticipated uncertainty budgets.
- Develop, modify, and maintain scientific analysis scripts and tools to:
- Process large datasets
- Generate diagnostic visualizations
- Evaluate Level 4 intercalibration data products
- Support routine v