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

Innovate!, Inc.

Fisheries Modeling Scientist

Seattle, WA · On-site

$100 - $125/hr

... data-processing workflows, and research results through GitHub and other open-science platforms ... nearshore marine environments when needed. REQUIRED SKILLS & TECHNICAL EXPERTISE * Extensive ...

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Marine Data Science information

What is a marine data science?

A Marine Data Science job involves analyzing and interpreting ocean-related data to support research, environmental management, and industry applications. Professionals in this field use statistical models, machine learning, and GIS tools to study marine ecosystems, climate change, and resource management. They often work with large datasets from satellites, sensors, and autonomous underwater vehicles. These roles are found in government agencies, research institutions, and private companies focused on oceanography, fisheries, and maritime industries. Strong programming, data visualization, and domain knowledge in marine science are essential for success in this career.

What does a marine data scientist do?

Marine Data Scientists typically collect, clean, and analyze large datasets from sensors, satellites, and autonomous underwater vehicles to study ocean phenomena or support marine operations. On a typical day, you might develop and run data models, collaborate with marine biologists or oceanographers to interpret results, and create visualizations or reports for stakeholders. The role often involves working as part of interdisciplinary teams in research institutes, government agencies, or industry, combining fieldwork with computational analysis. This mix of hands-on and analytical work ensures a dynamic and engaging environment for professionals who are passionate about both marine science and data-driven solutions.

What are the key skills and qualifications needed to thrive in marine data science?

To thrive in Marine Data Science, you need a solid background in oceanography, statistics, and programming (such as Python or R), usually supported by a degree in a related scientific or engineering discipline. Experience with GIS software, remote sensing tools, and data visualization platforms, as well as familiarity with marine data standards and certifications like GISP or AWS Certified Data Analytics, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills enable professionals to translate raw marine data into actionable insights that advance research, conservation, or industry objectives.

What are the most commonly searched types of Marine Data Science jobs in Seattle, WA?

The most popular types of Marine Data Science jobs in Seattle, WA are:

What are popular job titles related to Marine Data Science jobs in Seattle, WA?

For Marine Data Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Marine Data Science jobs in Seattle, WA look for?

The top searched job categories for Marine Data Science jobs in Seattle, WA are:

Marine Data Science jobs near you
Infographic showing various Marine Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Data Science Support - Management Decision Tools

Seattle, WA • On-site

Think Tank, Inc.
Photography Services • 11 - 50 employees
Learn more about Think Tank, Inc.external

Contractor

Re-posted 20 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.

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