Data Scientist
About The Position
CSS/RPI is seeking qualified candidates to manage, restore, and optimize three scientific databases to support long-term scientific integrity, collaboration, and public access to harmful algal bloom data at the Hollings Marine Laboratory in Charleston, SC. The role involves centralizing and standardizing disparate datasets, developing and maintaining scripts for automated data transfer, aligning datasets with data standards, coordinating with federal agencies, and ensuring data integrity through documentation, version control, backup, and quality control/assurance processes. The position also includes restoring and modernizing legacy database systems, migrating data to sustainable platforms, and supporting international data harmonization efforts.
Requirements
- Experience with data engineering, data management, or scientific data systems.
- Proficiency in SQL.
- Proficiency in at least one scripting language (Python or R preferred) to build data pipelines, visualize data, and integrate within a federal cyberinfrastructure.
- Experience with data standards.
- Demonstrated experience with image processing and spatial data workflows (e.g., ArcGIS).
- Ability to implement an effective data quality assurance process, data optimization, and documentation procedures.
- Strong organizational skills.
- Strong time management skills.
- Ability to manage multiple priorities in a dynamic environment.
- Effective team contributor with excellent interpersonal skills.
- Capable of working independently to meet project objectives and timelines.
Nice To Haves
- Experience with ecological /environmental datasets and marine monitoring programs.
- Familiarity with data sharing platforms (ERDDAP, OBIS).
- Experience modernizing legacy systems.
- Demonstrated ability to work individually and as part of a team.
- Highly effective interpersonal skills.
- Strong written and verbal communication competencies.
Responsibilities
- Manage, restore, and optimize three scientific databases.
- Support long-term scientific integrity, collaboration, and public access to harmful algal bloom data.
- Centralize and standardize disparate datasets (e.g., PMN datasets).
- Develop and maintain scripts for automated data transfer between data platforms.
- Align datasets with data standards (e.g., Darwin Core standards) to support data sharing.
- Coordinate with NCCOS and NCEI to advance the development of a GIS enabled data dashboard.
- Ensure data integrity through accurate documentation, version control, backup, and quality control/quality assurance processes.
- Develop and maintain metadata standards to meet federal data quality requirements.
- Restore and modernize legacy database systems (MS Access/SQL-based systems).
- Migrate data to a sustainable and scalable platform.
- Implement governance practices to ensure data integrity.
- Coordinate with Ocean Biodiversity Information System (OBIS) to incorporate PMN data.
- Create data pipelines for automated data transfer between PMN and OBIS/IOC platforms.
- Support international data harmonization and interoperability efforts.
- Read, scope, author, and/or execute code of varying degrees of complexity for automation of data production, analysis, and distribution.
- Implement an effective data quality assurance process, data optimization, and documentation procedures.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
