Intercalibration Science & Data Analyst

Analytical Mechanics Associates•Hampton, VA

About The Position

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.

Requirements

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.
US Person

Nice To Haves

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.

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, and 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.