Scientific Software Data Analyst

Clearance Level
None
Category
Data Science and Data Engineering
Location
Stennis Space Center, Mississippi
(Onsite Workplace)
Apply Now
Key Skills For Success

Data Analysis

Java

Python Frameworks

Python Software Development

REQ#: RQ218417
Public Trust: None
Requisition Type: Regular
Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.

Job Description

General Dynamics Information Technology (GDIT), a leading engineering and consulting firm providing scientific analysis, scientific applications development, systems engineering and GIS services, is seeking a Scientific Software Data Analyst to support the National Oceanic and Atmospheric Administration's (NOAA's) National Centers for Environmental Information (NCEI).

Position

This position works with a team supporting NCEI’s Coasts, Oceans, and Geophysics (COGS) Division, specifically with Scientific Data and Information Management Systems. The incumbent is expected to have information management, processing and stewardship, as well as scientific data analysis, metadata, and basic cloud/artificial intelligence (AI) experience to facilitate the work. The candidate should be experienced working with legacy data systems and the fundamentals of translating workflows to a modern environment.

Responsibilities include:

  • Facilitate data transfer and integration for product development tasks to archive, preserve, and access and products.

  • Work in collaboration to analyze data acquisition processes for coastal, oceanographic and geophysical data.

  • Understand and apply data labeling and tagging techniques to the current NCEI archive.

  • Understand and apply analytic tools for the change detection, monitoring, and quality control of scientific data.

  • Coordinate with data contributors to quality control and optimize metadata structures for long-term preservation and stewardship.

  • Utilize and apply AI towards the archive of oceanographic and geophysical data archive, cleaning, screening, data provenance, data stewardship, and search.

Required Skills

  • Minimum 5 years of experience with scientific data analysis

  • Modern Computer Languages (Python, R, Java, JavaScript)

  • Jira, Confluence, MS Office, Google Workspace, Git

Preferred Skills

  • Geospatial metadata standards for search and discovery (FGDC, ISO)

  • Experience working in cloud environment (AWS preferred)

  • XML editors

Work Requirements
Years of Experience

3 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

None

Salary and Benefit Information

The likely salary range for this position is $59,500 - $80,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans