What are the responsibilities and job description for the Data Scientist position at CSS?
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.
Experience Required
Experience Required
- Experience with data engineering, data management, or scientific data systems.
- Proficiency in SQL and at least once 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 (eg ArcGIS).
- Ability to implement an effective data quality assurance process, data optimization, and documentation procedures.
- Read, scope, author, and/or execute code of varying degrees of complexity for automation of data production, analysis, and distribution.
- Strong organizational skills, time management, and 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.
- 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, as well as strong written and verbal communication competencies.
- Centralize and standardize disparate PMN datasets in a unified structure for archiving into ERDDAP.
- Develop and maintain scripts for automated data transfer between data platforms.
- Align datasets with Darwin Core standards to support data sharing.
- Coordinate with NCCOS and NCEI to advance the development of a GIS enabled data dashboard.
- Ensure PMN 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 through documentation, file backup, and quality control.
- 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.