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Geospatial Data Scientist Jobs in Seattle, WA (NOW HIRING)

McMillen, Inc.

GIS Specialist

Kirkland, WA

$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 ...

Dewberry

Geospatial Analyst II

Seattle, WA

Dewberry's Geospatial and Technology Services creates geospatial and analytical solutions for real ... data science, or a related field. * Minimum of 5 years of experience in emergency management ...

Dewberry

Geospatial Analyst II

Seattle, WA · On-site

Dewberry's Geospatial and Technology Services creates geospatial and analytical solutions for real ... data science, or a related field. * Minimum of 5 years of experience in emergency management ...

McMillen, Inc.

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 ...

Amazon

Applied Science Manager, Prime Air

Seattle, WA · On-site

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 ...

Weyerhauser Co

ML Engineer

Seattle, WA · On-site

... AI, geospatial analytics, and generative AI solutions. This role sits at the intersection of data science, software engineering, and cloud infrastructure, enabling the transition from experimental ...

Weyerhaeuser Company

ML Engineer

Seattle, WA · On-site

... AI, geospatial analytics, and generative AI solutions. This role sits at the intersection of data science, software engineering, and cloud infrastructure, enabling the transition from experimental ...

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All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in Seattle, WA

Geospatial Data Scientist information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do geospatial data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for geospatial data scientist in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What are the most commonly searched types of Geospatial Data Scientist jobs in Seattle, WA?

The most popular types of Geospatial Data Scientist jobs in Seattle, WA are:

What are popular job titles related to Geospatial Data Scientist jobs in Seattle, WA?

For Geospatial Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Seattle, WA look for?

The top searched job categories for Geospatial Data Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Geospatial Data Scientist jobs?

Cities near Seattle, WA with the most Geospatial Data Scientist job openings:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Geospatial Analysis Data Science Support

Think Tank, Inc.

Seattle, WA

Full-time

Re-posted 6 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.

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