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Research Scientist II S 1-4
Job Location:
Job Location:
Huntsville, AL - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
4 September 2026 (17 days ago)
Posted:
Application Deadline:
2 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
The Research Scientist II will serve as task lead over various processes and be responsible for data analysis extracting validating and cataloguing vital metadata from complex large-scale Earth Science NASA scientific data collections.
Key Responsibilities Include
Serve as the Task Lead for cloud data ingestion activities by planning coordinating and overseeing the integration validation optimization and continuous improvement of data pipelines from multiple sources ensuring data quality system performance and compliance with organizational standards while supporting analytics reporting and operational requirements.
Serve as team lead and manage data quality control and troubleshooting efforts by overseeing routine quality assurance reviews of metadata records identifying and resolving data discrepancies collaborating with data producers to implement corrective actions and ensuring data integrity consistency and adherence to established standards.
Manage and oversee the data publication and documentation process by coordinating the ingestion validation publication and maintenance of metadata records ensuring accurate documentation data integrity compliance with organizational standards and the timely availability of information for stakeholders.
Lead and oversee the design development testing deployment and maintenance of scripts and software solutions that automate business and operational processes ensuring reliability scalability system performance and adherence to organizational standards.
Minimum Requirements
Masters Degree in a relevant scientific field or an equivalent combination of education and years of work experience.
1 to 2 years of full-time verifiable work experience (preferably in science engineering business or equivalent).
Proficiency in Python or other programming languages.
Familiarity with common scientific data formats such as gridded data like NetCDF or HDF5
Ability to document workflows clearly and communicate technical concepts to both scientific and engineering team members
Knowledge of MS Office Suite
Preferred Qualifications
Foundational knowledge or hands-on experience with Amazon Web Services (AWS) environments (e.g. S3 storage EC2 Lambda).
Experience with GIS software (ArcGIS QCIS) or geospatial libraries (GDAL/OGR Rasterio Geospandas)
Organizational skills and an eye for detail essential for catching inconsistencies in vast datasets
Familiarity with Git and GitHub for code sharing and collaboration
Key Responsibilities Include
Serve as the Task Lead for cloud data ingestion activities by planning coordinating and overseeing the integration validation optimization and continuous improvement of data pipelines from multiple sources ensuring data quality system performance and compliance with organizational standards while supporting analytics reporting and operational requirements.
Serve as team lead and manage data quality control and troubleshooting efforts by overseeing routine quality assurance reviews of metadata records identifying and resolving data discrepancies collaborating with data producers to implement corrective actions and ensuring data integrity consistency and adherence to established standards.
Manage and oversee the data publication and documentation process by coordinating the ingestion validation publication and maintenance of metadata records ensuring accurate documentation data integrity compliance with organizational standards and the timely availability of information for stakeholders.
Lead and oversee the design development testing deployment and maintenance of scripts and software solutions that automate business and operational processes ensuring reliability scalability system performance and adherence to organizational standards.
Minimum Requirements
Masters Degree in a relevant scientific field or an equivalent combination of education and years of work experience.
1 to 2 years of full-time verifiable work experience (preferably in science engineering business or equivalent).
Proficiency in Python or other programming languages.
Familiarity with common scientific data formats such as gridded data like NetCDF or HDF5
Ability to document workflows clearly and communicate technical concepts to both scientific and engineering team members
Knowledge of MS Office Suite
Preferred Qualifications
Foundational knowledge or hands-on experience with Amazon Web Services (AWS) environments (e.g. S3 storage EC2 Lambda).
Experience with GIS software (ArcGIS QCIS) or geospatial libraries (GDAL/OGR Rasterio Geospandas)
Organizational skills and an eye for detail essential for catching inconsistencies in vast datasets
Familiarity with Git and GitHub for code sharing and collaboration
Required Experience:
IC
About Company
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