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Geospatial Data Science Intern Jobs in Seattle, WA

The Geospatial Science team is responsible for the quality and coverage of the core geospatial data, solvers, and real-time workflows that operate over petabytes of data, power trillions of transit ...

The Geospatial Science team is responsible for the quality and coverage of the core geospatial data, solvers, and real-time workflows that operate over petabytes of data, power trillions of transit ...

The Geospatial Science team is responsible for the quality and coverage of the core geospatial data, solvers, and real-time workflows that operate over petabytes of data, power trillions of transit ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Our team of scientists, engineers, and aerospace professionals is solving these exact problems. We ... Geospatial Mastery: Utilize deep geospatial data (3D maps, urban topology, etc.) to improve ...

Our team of scientists, engineers, and aerospace professionals is solving these exact problems. We ... Geospatial Mastery: Utilize deep geospatial data (3D maps, urban topology, etc.) to improve ...

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

GIS Specialist

Kirkland, WA · On-site

$50K - $95K/yr

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

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Geospatial Data Science Intern information

See Seattle, WA salary details

$13

$25

$47

How much do geospatial data science intern jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for geospatial data science intern in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What types of projects or tasks can a Geospatial Data Science Intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What is a Geospatial Data Science Intern job?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

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

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

What are popular job titles related to Geospatial Data Science Intern jobs in Seattle, WA? For Geospatial Data Science Intern jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science Intern jobs in Seattle, WA look for? The top searched job categories for Geospatial Data Science Intern jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Geospatial Data Science Intern jobs? Cities near Seattle, WA with the most Geospatial Data Science Intern job openings:
Infographic showing various Geospatial Data Science Intern job openings in Seattle, WA as of July 2026, with employment types broken down into 10% Internship, 56% Full Time, 29% Part Time, and 5% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Geospatial Analysis Data Science Support

Think Tank, Inc.

Seattle, WA

Other

Posted 24 days ago


Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Integrate spatial and remotely sensed datasets across freshwater, estuarine, and nearshore marine habitats using advanced GIS analysis.
  • Compute spatial indices from large datasets (e.g., prey availability, predator abundance, habitat conditions) for use in assessment tools.
  • Contribute to incorporation of spatial datasets and indices into fish life cycle models used to evaluate management scenarios.
  • Lead data processing and visualization; share compiled data, workflow protocols, and research products.
  • Collect fish and environmental data in the field (harsh conditions; may involve driving vehicles/boats/trailers and occasional ship-survey assistance).
  • 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 in a related field - may substitute for two (MS) or four (PhD) 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):

  • Datasets produced by geospatial analysis stored in an accessible, organized way (e.g., interactive data dashboards backed by code repositories).
  • Reproducible workflows documented in written reports and code repositories.
  • Written status reports and other ad hoc communications as needed.

SKILLS:

Required:

  • Strong background using GIS (ArcPro, QGIS, etc.) to collate and analyze large spatial datasets.
  • Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, GitHub or GIS, and with open-science concepts.
  • Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
  • Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.