Intercalibration Science & Data Analyst

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.

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, and 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, and 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 validation and quality assessment activities.
• Collaborate closely with scientists, engineers, and analysts across the intercalibration subsystem to advance mission objectives and support verification and validation efforts.
• Communicate technical findings through presentations, reports, and scientific discussions.

Required Qualifications

• Master's degree in Atmospheric Science, Physical Science, Remote Sensing, Data Science, or related field.
• Three (3) or more years of experience performing scientific data analysis.
• Experience working with Earth-observing passive remote sensing datasets.
• Demonstrated knowledge of statistical methods and quantitative data analysis techniques.
• Proficiency in scientific programming and data processing workflows.
• Strong verbal, written, and presentation communication skills.
• Ability to work independently while contributing effectively within a multidisciplinary team environment.
• Ability to meet NASA background investigation requirements for IT and facility access.

Preferred Qualifications

• Experience programming in Python.
• Experience with automated or batch data processing systems.
• Experience working in collaborative scientific research environments.
• Experience with satellite instrument intercomparisons and/or intercalibration analyses.
• Familiarity with uncertainty quantification and error propagation methods.
• Experience analyzing CERES, VIIRS, or similar Earth observation datasets.
• Experience creating scientific visualizations and data quality assessment tools.