ZipRecruiter

Log In

1

Ocean Data Science Jobs in Washington (NOW HIRING)

Axiom Consultants

Scientific Programmer IV

Rockville, MD · Remote

$100K/yr

Bachelor's or Master's degree in computer science, meteorology, or physical oceanography (4 ... Familiarity with NOAA's scientific raster and vector data sets (e.g., ocean model forecast guidance ...

Axiom Consultants

Scientific Programmer IV

MD · On-site

$100K/yr

Bachelor's or Master's degree in computer science, meteorology, or physical oceanography (4 ... Familiarity with NOAA's scientific raster and vector data sets (e.g., ocean model forecast guidance ...

Ocean Conservancy

Budget Manager

Washington, DC · On-site

$90K - $100K/yr

Today, we continue to unite science, people and policy to protect our ocean from the greatest ... system data entry. This position ensures compliance with donor and Ocean Conservancy policies ...

Ocean Associates

Policy Analyst

Silver Spring, MD · On-site

$30 - $50/hr

Geospatial data and information are critical in making informed decisions in complex coastal ... Bachelors Degree from an accredited institution in marine science, oceanography, environmental ...

previous pagenext page

Showing results 21-40

All JobsOcean Data Science JobsOcean Data Science Jobs in Washington

Ocean Data Science information

See Washington salary details

$42.5K

$139K

$222.6K

How much do ocean data science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ocean data science in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an ocean data science?

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 does an ocean data science do?

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.

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

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 can you do with an ocean data science degree?

An ocean data science degree prepares individuals to analyze marine and environmental data using tools like statistical software and programming languages such as Python or R. Graduates can work in research, environmental monitoring, climate modeling, or conservation efforts, often collaborating with scientists and policymakers to address ocean-related challenges.

What are popular job titles related to Ocean Data Science jobs in Washington?

For Ocean Data Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ocean Data Science jobs in Washington look for?

The top searched job categories for Ocean Data Science jobs in Washington are:

What cities in Washington are hiring for Ocean Data Science jobs?

Cities in Washington with the most Ocean Data Science job openings:

Ocean Data Science jobs near you
Infographic showing various Ocean Data Science job openings in Washington as of August 2026, with employment types broken down into 66% Full Time, 18% Part Time, 7% Temporary, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

MS, PhD, Research Scientist, Machine Learning, Atmospheric Science

Silver Spring, MD • On-site

DeVine
See more jobs at DeVineexternal

$120K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

DeVine provides technical and scientific support to government clients in Oceanography & Atmospheric Science among other technical disciplines. Our company is looking for a Research Scientist, with experience in Atmospheric Science and Machine Learning (ML), to join DeVine in a full time capacity. DeVine contributes to projects in data modeling, remote sensing & machine learning. We collaborate with our clients in scientific analysis of the Earth’s atmosphere & ocean and land surfaces, as well as astronomy and astrometry. We help our clients test and operate space-based, air-based, subsurface, and land and ocean surface-based sensors. The successful hire will contribute to improvements in weather forecast performance to deliver more accurate weather insights to our customers.

Duties:
  • Conduct innovative research at the intersection of weather prediction and machine learning, including approaches that leverage observations from satellite constellation
  • Develop, verify, and document forecast improvements that provide measurable value to customers
  • Partner with engineering and product teams to transition research advances into scalable, operational systems
  • Communicate results through internal reviews, customer discussions, and, where appropriate, conferences or publications
  • Contribute broadly to improving forecastsand overall product performance
Required experience and credentials:
  • Graduate degree in atmospheric science, meteorology, computer science, or a related field
  • 4+ years of experience developing ML models for weather applications
  • Strong ML engineering fundamentals, including model training, validation, evaluation, and documentation
  • Training, running, and verifying AI-based weather prediction models
  • Working in cloud-based computing environments
  • Handling large meteorological datasets and common data formats at scale
  • Modern deep learning frameworks (e.g., PyTorch or TensorFlow)
  • Large geophysical dataset formats (GRIB, NetCDF, ZARR)
  • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with cloud-based computing environments (AWS, GCP, Azure)
  • Strong written and verbal communication skills
  • Ability to manage multiple projects and balance competing priorities
About the position:
  • Position Type: Full-time, Must be U.S. Citizen
  • Location: Silver Spring, MD
  • Benefits: Medical, Dental, Vision, 401K, Life Insurance, Paid Holidays, Paid Sick Leave and Paid Vacation
  • Compensation: $120K to $150K per year salary range DOE and skills
Equal Opportunity Employer

We are committed to a policy of assuring that all applicants for employment are recruited, hired and assigned on the basis of qualifications and merit without discrimination based on any protected classification, including, but not limited to, race, color, religion, sex, sexual orientation, national origin, veteran status, age, disability, handicap, marital status, or any other characteristic protected by applicable laws.

#J-18808-Ljbffr

Apply