Data Analyst

Saltwater, Inc.

$80K — $90K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree plus 6 years, Master's plus 4 years, or PhD plus 1 year of relevant experience.
  • Strong background in data analysis, particularly with large datasets.
  • Proven experience developing and applying various analytical methodologies.
  • Ability to author reports and scientific papers.
  • Proficiency in MS Office and Google Workspace tools.
  • Expertise in programming languages such as PL/SQL, R, C, Python, Linux, and associated tools like VIAME and Terraform.
  • Must possess a valid driver's license and be able to operate a Federal motor vehicle.

Responsibilities

  • Build ML/AI models using advanced technology data for marine resource assessment.
  • Create workflows for model application and data processing to ensure reproducibility.
  • Manage large databases using land-based and cloud storage solutions.
  • Analyze machine learning results to assess uncertainties and ecological impacts.
  • Draft documentation for data collection, auditing, and analytical processes.
  • Conduct data reviews and analyses, including programming support.
  • Publish research findings in peer-reviewed outlets and technical documents to aide fisheries management.
  • Collaborate with various groups for data sharing and analysis.
  • Present research at conferences and outreach events, enhancing visibility of work.
  • Assist with project report development for funding and peer review purposes.
  • Participate in research projects and field surveys as needed.

Benefits

  • Full-time position with opportunities for on-site and remote work.
  • Potential for contract extensions beyond the initial base period.
  • Engage in applied research that contributes directly to fisheries science and management.
  • Collaborative environment working alongside expert researchers and stakeholders.
Full Job Description
We are currently recruiting for a Data Scientist to assist the Ecosystems Survey Branch (ESB) by helping construct ML/AI tools to improve the efficiency, quality, and availability of advanced technology survey data. Data collected by the Northeast Fisheries' Science Center's ESB are one of the primary tools used to understand population trends and characteristics of managed marine resources, and determine how and why ecosystems have changed over time. Advanced technology has been leveraged to sample marine ecosystems to inform assessment and management of marine resources. One such tool includes optical (e.g. camera) surveys. The ESB has conducted optical surveys of the sea floor to quantify Atlantic sea scallops and other ecosystem features. The vast amount of data and time needed for manually annotating images necessitate machine learning or artificial intelligence (ML/AI) tools be developed for processing said data for fisheries management applications.

This will be a full-time position. Work will be performed on-site at a Northeast Fisheries Science Center, as well as aboard research vessels in the Northwest Atlantic Ocean, or remotely in coordination with the COR and Project Lead. The contract has a one-year base period and will have up to three (3) 12-month option periods.

Duties:

  1. Build ML/AI models for marine resources and species of the Northeast U.S. Shelf from NEFSC advanced technology data.
  2. Construct pathways and workflows for applying developed models, pipelines, data storage and processing for reproducibility and replicability.
  3. Manage large databases using both land-based servers and cloud storage.
  4. Statistically analyze machine learning results to understand model uncertainties and improve our ecological understanding of marine resources.
  5. Produce documentation of protocols for data collection, data auditing, and data analyses.
  6. Produce documentation and conduct data review and analysis from associate computer programming and analyses.
  7. Produce publications of scientific methods and findings in peer-reviewed manuscripts and technical documents to support fisheries science machine learning, stock assessments, and fisheries management.
  8. Coordinate and collaborate with researchers and data users in multiple groups at the NEFSC, Greater Atlantic Regional Fisheries Office (GARFO), and other FMCs, including data sharing, analysis, and documentation.
  9. Develop materials and present research at scientific conferences and stock assessment and other technical meetings, to fisheries managers, and at outreach events.
  10. Assist with the development of project reports for NEFSC, NOAA HQ, Fisheries Management Councils, Peer-Review Panels, and others.
  11. Assist in developing technical reports and proposals for competitive funding.
  12. Participate in NEFSC research projects and at-sea surveys as time permits and as needed.


Minimum Qualifications:

  • Bachelor's degree with six (6) years' experience, or Master's degree with four (4) years' experience, or PhD with one (1) year experience; degree and experience must be directly related to the individual requirement.
  • Experience analyzing large data sets.
  • Extensive experience with identifying, interpreting, analyzing, and applying a range of established approaches and solutions to tests, problems, or issues.
  • Experience writing reports or scientific publications.
  • Current MS Office and Google Workspace skills.
  • Expertise with PL/SQL, R, C, Python, Linux, VIAME, Terraform, and/or other programming languages.
  • Hold a valid driver's license with the ability to operate a Federal motor vehicle.


Salary range is $80,000 - $90,000 annually dependent upon experience.

Only qualified applicants with the requisite experience need to apply.

We will honor all requests for application confidentiality.

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