Data Scientist

CSS, Inc.
Charleston, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 85K

Job location

Charleston, United States of America

Tech stack

Legacy Database
Microsoft Access
ArcGIS (Software)
Backup Devices
CSS
Information Systems
Databases
Data Transmissions
Information Engineering
Data Governance
Data Integrity
Data Migration
Data Sharing
Data Systems
Python
Metadata Standards
Spatial Data Infrastructures
SQL Databases
Scripting (Bash/Python/Go/Ruby)
Data Management
Software Version Control
Data Pipelines
Legacy Systems

Job description

  • 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.

At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Requirements

  • 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.

Benefits & conditions

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