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Geospatial Data Science Jobs in Oregon (NOW HIRING)

Waabi

Senior / Staff Software Engineer, Mapping

OR · On-site +1

$141K - $242K/yr

... from data ingestion to real-time serving. You will collaborate and exchange ideas with our team ... Qualifications: - BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field ...

NV5

Acquisition Project Coordinator

Corvallis, OR · On-site

At NV5 Geospatial, we are a collaboration of intelligent, innovative thinkers who care for each ... Bachelor's degree in science, engineering, or a related field; HS diploma and commensurate ...

Trimble

Software Development Engineer in Test

Lake Oswego, OR · On-site

$51.50 - $66.25/hr

... data analytics, Trimble enables essential industries including construction, geospatial and ... Bachelor of Science degree in Computer Science or a closely related AI discipline * Designing ...

NW Natural

Systems Analyst/QA

Portland, OR · On-site

... Geospatial Information System (GIS) technical domain OR the Customer Lifecycle Management (CLM ... Bachelor's degree in computer science, Engineering, or related field (or equivalent experience ...

NW Natural

Systems Analyst/QA

Portland, OR

... Geospatial Information System (GIS) technical domain OR the Customer Lifecycle Management (CLM ... Bachelor's degree in computer science, Engineering, or related field (or equivalent experience ...

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Showing results 21-40

All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Oregon

Geospatial Data Science information

See Oregon salary details

$23.3K

$81.9K

$129K

How much do geospatial data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for geospatial data science in Oregon is $81,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $84,600.00 per year, depending on experience, location, and employer.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.

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

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

How does a geospatial data scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the most commonly searched types of Geospatial Data Science jobs in Oregon?

The most popular types of Geospatial Data Science jobs in Oregon are:

What cities in Oregon are hiring for Geospatial Data Science jobs?

Cities in Oregon with the most Geospatial Data Science job openings:

Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,934 per year, or $39.4 per hour.

Hydrologist

U.S. Department of Agriculture (USDA)

Mckenzie Bridge, OR • On-site

$61K/yr

Full-time

Posted 6 days ago

USDA Forest Service rating

7.4

Company rating: 7.4 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

161st of 295 rated public sector bodies

Job description

This position is located on a Forest Service Research unit.
The incumbent performs professional work in the field of hydrology, participating as a member of a research team working to evaluate short-and long-term effects of forest management activities on erosion processes and stream functions.
For additional information about the duties of this position, please contact Adam Price at Adam.Price@usda.gov.
Qualifications:In order to qualify, you must meet the eligibility and qualifications requirements as defined below by the closing date of the announcement. For more information on the qualifications for this position, visit the Office of Personnel Management's General Schedule Qualification Standards.
Your application and resume must clearly show that you possess the experience requirements. Transcripts must be provided for qualifications based on education. Provide course descriptions as necessary.
Basic Requirement:
GS-1315 Series:
Degree: physical or natural science, or engineering that included at least 30 semester hours in any combination of courses in hydrology, the physical sciences, geophysics, chemistry, engineering science, soils, mathematics, aquatic biology, atmospheric science, meteorology, geology, oceanography, or the management or conservation of water resources. The course work must have included at least 6 semester hours in calculus (including both differential and integral calculus), and at least 6 semester hours in physics. Calculus and physics, as described above, are requirements for all grade levels.
OR
Combination of education and experience -- course work as shown in A above, plus appropriate experience or additional education.

Evaluation of Experience: Acceptable experience must have included performance of scientific functions related to the study of water resources, based on and requiring a professional knowledge of related sciences and the consistent application of basic scientific principles to the solution of theoretical and practical hydrologic problems. The following is illustrative of acceptable experience: field or laboratory work that would require application of hydrologic theory and related sciences such as geology, geo-chemistry, geophysics, or civil engineering to making observations, taking samples, operating instruments, assembling data from source materials, analyzing and interpreting data, and reporting findings orally and in writing. In some cases, professional scientific experience that is not clearly water resource experience may be acceptable if such experience was preceded by appropriate education in hydrology or by professional hydrology experience.

Applicants with related experience in hydrology gained through earlier Federal Government employment might have gained that experience in one or more occupational series. Such series include Soil Conservation, GS-457; Forestry, GS-460; Soil Science, GS-470; Civil Engineering, GS-810; Chemistry, GS-1320; Meteorology, GS-1340; and Geology, GS-1350. Comparable non-Federal experience may be given similar credit.

In addition to meeting the basic requirement, you must also possess experience and/or directly related education in the amounts listed below.
Specialized Experience Requirement:
For the GS-09 level: Applicants must have one year of specialized experience equivalent to the GS-07 in the Federal service. Qualifying specialized experience is defined as four or more of the following:
  • Assisting with creating complex databases including full metadata and flagging of questionable data.
  • Manipulating and assisting in analyzing large data sets from a variety of research areas such as forestry, atmospheric sciences, hydrology, socio-economics, wildlife, fisheries - analyses included graphical and text summaries across multiple timesteps, calculations of higher order statistical metrics.
  • Assisting in developing, designing and managing complex databases including data dictionaries, data models, quality assurance, and metadata for multi-disciplinary information and geospatial applications.
  • Presenting analysis of complex and large datasets at local or regional scientific meetings, assisted with national meeting presentations. Integrating datasets with different structural and disciplinary characteristics.
  • Documenting the multiple steps of data acquisition and management of streaming data, starting with raw data on field datalogger to final data available on the web.
OR
a master's or equivalent graduate degree or 2 full years of progressively higher-level graduate education leading to such a degree or LL.B. or J.D., directly related to the work of this Hydrologist position. Examples of directly related education are: watershed science, forest hydrology, hydrologic engineering, hydrogeology, hydrology, environmental engineering, civil engineering, agricultural engineering, and soil science.
OR
an appropriate combination of specialized experience and education. Only graduate education in excess of 18 semester hours may be used to qualify applicants for this grade level. The education must have been obtained in an accredited college or university and demonstrate the knowledge, skills, and abilities necessary to do the work.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
TIME IN GRADE REQUIREMENT: If you are a current federal employee in the General Schedule (GS) pay plan and applying for a promotion opportunity, you must meet time-in-grade (TIG) requirements of 52 weeks of service at the next lower grade level in the normal line of progression for the position being filled. This requirement must be met by the closing date of this announcement.Education:See above for education that may be qualifying for the specific grade level.Employment Type: OTHER

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