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Ocean Data Science Jobs (NOW HIRING)

Next Gen Alloys

Data Scientist

Cudahy, WI · On-site

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

ATI

Data Scientist

Cudahy, WI

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

ATI

Data Scientist

Cudahy, WI · On-site

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

Corning

Data Scientist

Charlotte, NC

... and materials science. From the depths of the ocean to the farthest reaches of space, our ... Role Purpose As a Data Scientist, you will serve as a hands-on applied data science contributor ...

Corning

Data Scientist

Charlotte, NC · On-site

... science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.  ​  How do we do this? With our people. They break through ...

Odyssey

Data Scientist I

Charlotte, NC · On-site

... Jones Act Ocean, and customs brokerage, ensuring goods move reliably, efficiently, and ... Manager, Data Science Summary: Seeking a highly analytical, innovative, and research-driven Data ...

Tive

Senior Data Scientist

Boston, MA · On-site

Relentless iteration to optimize and improve Whether shipped by road, rail, ocean, or air, Tive ... Own and ship innovative customer-facing data science and AI features across Tive's core roadmap ...

Whoi

Oceanographic Data Systems Specialist

Clark, SD · On-site

$107K - $131K/yr

... ocean sciences. Apply numerical methods, AI, and machine learning to large experimental datasets ... Build storage and data-access layers that run on AWS S3 and S3-compatible object stores (MinIO ...

Teledyne

Senior Data Scientist

Falls Church, VA · On-site

... oceanographic research, deepwater oil and gas exploration and production, medical imaging and ... Strong experience applying data science, statistics, and operations research techniques

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Ocean Data Science information

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$122.7K

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How much do ocean data science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for ocean data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
More about Ocean Data Science jobs
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What states have the most Ocean Data Science jobs? States with the most job openings for Ocean Data Science jobs include:
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Ocean Data Science jobs near you

Data Scientist

Next Gen Alloys

Cudahy, WI • On-site

Full-time

Posted 17 hours ago

Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.

Additional Responsibilities

  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

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