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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 · 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 · 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 ...

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 ...

Corning

Data Scientist (Remote)

Corning, NY

... 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 ...

New

Whoi

Oceanographic Data Systems Specialist

Clark, SD

$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 ...

Northrop Grumman Corporation

Data Scientist

San Diego, CA · On-site

$101K - $151K/yr

... Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas ... Innovation & Knowledge Leadership - Stay abreast of cutting edge data science methodologies (e.g ...

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Ocean Data Science information

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How much do ocean data science jobs pay per year?

As of Jun 11, 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 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.

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.

More about Ocean Data Science jobs
What cities are hiring for Ocean Data Science jobs? Cities with the most Ocean Data Science job openings:
What are the most commonly searched types of Ocean Data Science jobs? The most popular types of Ocean Data Science jobs are:
What states have the most Ocean Data Science jobs? States with the most job openings for Ocean Data Science jobs include:
What job categories do people searching Ocean Data Science jobs look for? The top searched job categories for Ocean Data Science jobs are:
Ocean Data Science jobs near you
Infographic showing various Ocean Data Science job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Oceanographic Data Specialist

Lynker Corporation

Silver Spring, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.  As part of our ongoing growth, Lynker is forecasting the need for a detail oriented Oceanographic Data Specialist in the coming months.  This role is contingent upon contract award.

Responsibilities

Duties of the Oceanographic Data Specialist will include the following:

The Center for Operational Oceanographic Products and Services (CO-OPS) requires technicaland scientific support in monitoring, reviewing, and analyzing the diverse suite of oceanographic and meteorological data that CO-OPS collects and in detecting, diagnosing, and troubleshooting any data or station issues that arise. This work involves investigating missing, suspect, or erroneous data on an as-required basis in accordance with CO-OPS Standard Operating Procedures (SOPs), and performing quality control of oceanographic and meteorological data collected in support of CO-OPS and its partners.

Qualifications

The Ideal Oceanographic Data Specialist will have the following:

  • The individual supporting CO-OPS CORMS must possess a demonstrated knowledge of oceanographic, meteorological and other scientific methodologies and principles; in particular, how to process, analyze, and disseminate physical oceanographic data sets, assess observing sensor operability, and troubleshoot suspect data issues.
  • Must possess a Bachelor of Science degree in oceanography, meteorology, or related physical science field, and have at least four years of relevant professional experience. (Eight years of relevant experience in operational oceanography can substitute for this degree requirement).
  • Must have the ability to review large volumes of data and identify technical oceanographic issues using existing software and data management tools.
  • An ability to communicate clearly and effectively with CO-OPS personnel and users of CO-OPS information is also required. 
  • MUST be able to work 12 hour shifts and routinely work nights, weekends, and occasionally on holidays.

About Lynker

Lynker is a growing, employee owned, small business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled and diverse professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is proud to be an Equal Opportunity Employer and encourages women, minorities, individuals with disabilities and veterans to apply.

Employment Type: FULL_TIME

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