Data Scientist

Riverside Technology

$80K — $110K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in data engineering or management, specializing in scientific systems.
  • Proficient in SQL and at least one scripting language (Python or R preferred).
  • Experience with data standards and quality assurance processes.
  • Familiarity with image processing and spatial data workflows, especially ArcGIS.
  • Strong organizational skills with the ability to manage multiple projects under tight deadlines.
  • Effective team player with strong interpersonal skills, capable of independent work.

Responsibilities

  • Centralize and standardize PMN datasets for ERDDAP archiving.
  • Develop scripts for automated data transfers between platforms.
  • Align datasets with Darwin Core standards for optimal data sharing.
  • Collaborate with NCCOS/NCEI to build a GIS-enabled data dashboard.
  • Ensure data integrity through documentation and quality control processes.
  • Restore and modernize legacy databases (MS Access/SQL).
  • Migrate data to a sustainable, scalable platform while implementing governance practices.

Benefits

  • Opportunities for professional development and certification.
  • Collaborative work environment with experts in marine science.
  • Access to advanced data management tools and technologies.
  • Engagement in national and international data harmonization efforts.
Full Job Description
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 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.

Highly Desirable Experience:
  • 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.

Phytoplankton Monitoring Network (PMN) Database:
  • 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.

Analytical Response Team (ART) Database
  • 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.

Intergovernmental Panel on Harmful Algal Blooms (IPHAB) Toxins Database
  • 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.


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