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Ocean Data Science Jobs in Seattle, WA (NOW HIRING)

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Ocean Data Science information

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$42.7K

$139.7K

$223.6K

How much do ocean data science jobs pay per year?

As of Jul 31, 2026, the average yearly pay for ocean data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What is an Ocean Data Science job?

An Ocean Data Science job involves collecting, analyzing, and interpreting ocean-related data to solve marine and environmental challenges. Professionals in this field use data science techniques, including machine learning, statistics, and modeling, to study ocean currents, climate change, marine ecosystems, and resource management. They work with large datasets from satellites, underwater sensors, and research vessels to provide insights for science, industry, and policy-making. Ocean data scientists collaborate with marine researchers, government agencies, and private companies to improve understanding and sustainable management of ocean resources.

What can I do with a degree in ocean science?

A degree in ocean science prepares individuals for careers such as oceanographer, marine biologist, or environmental scientist, involving research, data analysis, and fieldwork. Graduates often work in research institutions, government agencies, or environmental consulting, utilizing skills in data collection, GIS, and laboratory techniques.

How much do ocean scientists get paid?

Ocean scientists' salaries vary based on experience, education, and location, but typically range from $50,000 to $100,000 annually. Entry-level positions may start lower, while experienced professionals with advanced degrees and specialized skills can earn higher salaries, especially in research or consulting roles.

What are the key skills and qualifications needed to thrive in the Ocean Data Science position, and why are they important?

To thrive in Ocean Data Science, you need a strong background in marine science, statistics, and data analysis, often supported by a degree in oceanography, data science, or a related field. Familiarity with programming languages like Python or R, geospatial analysis tools such as GIS, and experience using oceanographic databases are highly valued, as are certifications in data analysis or scientific computing. Effective communication, teamwork, and problem-solving skills help you collaborate with interdisciplinary teams and present complex findings clearly. These abilities enable professionals to turn vast oceanic datasets into actionable insights that further scientific understanding and inform marine conservation and policy decisions.

Does NASA hire marine biologists?

NASA primarily focuses on space and aeronautics research and does not typically hire marine biologists. However, NASA collaborates with oceanographers and environmental scientists for Earth observation projects using satellite data, which may involve skills related to marine science. Marine biologists seeking employment should look for opportunities in research institutions, government agencies, or environmental organizations specializing in oceanography.

What are the typical projects and daily responsibilities for an Ocean Data Science professional?

Ocean Data Science professionals routinely analyze large datasets collected from sources such as remote sensing satellites, underwater sensors, and research vessels. Their daily tasks often include data cleaning, statistical analysis, and creating visualizations to interpret trends in ocean temperature, currents, or ecosystem health. They frequently collaborate with oceanographers, marine biologists, and policy makers to deliver actionable insights and may contribute to published research or environmental monitoring initiatives. Depending on the organization, these professionals may also be involved in developing predictive models, writing scientific reports, or presenting findings at conferences. The work environment is typically collaborative and may offer opportunities for both fieldwork and remote analysis, supporting both independent and team-driven research efforts.

How much does a marine Data Scientist make?

A marine Data Scientist typically earns between $70,000 and $120,000 annually, depending on experience, education, and location. Advanced skills in data analysis, programming, and knowledge of oceanographic data are often required for higher salaries.
What are popular job titles related to Ocean Data Science jobs in Seattle, WA? For Ocean Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Ocean Data Science jobs in Seattle, WA look for? The top searched job categories for Ocean Data Science jobs in Seattle, WA are:
Ocean Data Science jobs near you
Infographic showing various Ocean Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 4% Internship, 84% Full Time, 4% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Data Science Support -- Management Decision Tools

Think Tank, Inc.

Seattle, WA • On-site

$1/hr

Full-time

Posted 21 days ago

Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Collect fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region; field collection involves harsh outdoor conditions in/around water and may involve driving vehicles and/or boats and trailers and occasional (days-to-weeks) ship-survey assistance.
  • Implement occasional laboratory experiments and data processing; perform data visualization and analysis.
  • Conduct literature reviews to extract data and published relationships between ecological outcomes and potential stressors or habitat metrics.
  • In collaboration with team members, produce tools that improve transparency and efficiency of management decision-making and permitting, integrating environmental stressors into the NW Salmon Life Cycle Model (LCM) framework.
  • Share comprehensive workflow protocols and research products so others can interact with and understand the work.
  • Write reports, contribute to journal manuscripts, and present results at regional meetings and scientific conferences, as needed.

EDUCATION & EXPERIENCE:

Required:

  • Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order, with emphasis in fisheries, ecology, natural sciences, mathematics, statistics, oceanography, or hydrology.
  • Experience: Three (3) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.

Desired:

  • Advanced degree (MS or PhD) in a related field - may be substituted for four (4) years of experience.

CERTIFICATIONS:

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • Reliable participation and contributions in field and/or laboratory activities coordinated by the NWFSC.
  • Documentation that samples/data were collected, stored, and processed using established protocols.
  • Reproducible workflows documented; analysis products stored in an accessible, organized way.
  • Written status reports and other ad hoc communications as needed.

SKILLS:

Required:

  • Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, GitHub, etc.
  • Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
  • Familiarity with common workplace software such as Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.