Intercalibration Science & Data Analyst
Indexed description
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 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.
- 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
- 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.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.
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