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Spatial Data Science Jobs in Oregon (NOW HIRING)

Datavault AI Inc.

Government Bid Writer

Beaverton, OR · On-site

... data-management solutions, and advanced audio technologies to a broad range of industries. Its Acoustic Science division licenses spatial and multichannel HD audio technologies--including ADIO ® ...

Nvidia

OR · On-site

Work is delivered in close partnership with data, platform, and product engineering to ensure ... Explore and prototype improvements across spatial multimodal modeling, modality alignment, flow ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR

$141K - $191K/yr

... data movement, memory management, and device interfaces. * Architect and deliver performance ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in Oregon

Spatial Data Science information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do spatial data science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for spatial data science in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a Spatial Data Scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

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

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in Oregon? For Spatial Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Oregon look for? The top searched job categories for Spatial Data Science jobs in Oregon are:
What cities in Oregon are hiring for Spatial Data Science jobs? Cities in Oregon with the most Spatial Data Science job openings:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Oregon as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 60% In-person, 13% Hybrid, and 27% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Field Director

Confederated Tribes of Warm Springs

Warm Springs, OR

$62K - $72K/hr

Full-time

Posted 25 days ago

Job description

The Field Director is the primary leader for cultural resource management (CRM) field operations, ensuring high standards of archaeological methodology, safety, and efficiency. They supervise fieldwork and data management—including survey, excavation, and documentation—while serving as the on-site guide for quality control and clear communication with Principal Investigators and the Operations Manager. The role emphasizes in-field training and mentorship, fostering the development of Crew Leaders, Field Technicians, and others through hands-on instruction. The Field Director applies expert knowledge of archaeological methods, regulatory compliance, and site preservation strategies to adapt workflows, safeguard data integrity, and ensure accurate reporting. This position requires proactive problem-solving, transparent leadership, and collaboration to meet project goals, advancing GeoVisions’ mission of excellence in fieldwork and a culture of innovation and learning.

Key Responsibilities

Administrative & Project Management
● Participate in project scope meetings with Principal Investigators to understand headcount planning, timeline, project goals, and a comprehensive plan for each client project.
● Manage and organize field data, including mapping, spatial analysis, and report preparation, using Google Earth, ArcGIS Pro, ArcGIS Online, and other GIS-based software.
● Maintain timely and accurate field documentation in compliance with project/regulatory requirements.
● Monitor budgets, materials, and resources to ensure efficient use.
● Support report writing under PI direction with accurate field data.

Logistics & Operations Support
● Coordinate travel and lodging for field crews with Operations staff.
● Oversee equipment procurement, use, and maintenance.
● Assist with building schedules that balance project deadlines with crew well-being.

Requirements
Required:
● Bachelor of Arts (BA) or Bachelor of Science (BS) in Anthropology with an emphasis in Archaeology or other related field
● Experience working with ESRI programs, Google Earth and OR/WA SHPO databases (OARRA, WISAARD)

Preferred:
● Master of Arts (MA) or Master of Science (MS) in Anthropology with an emphasis in Archaeology
● Completion of GIS/Mapping program with 2+ years of experience in ArcGIS and Google Earth
● Graduate or certification-based accomplishments in CRM or advanced GIS/mapping programs

Experience

Required:
● Previous work with a CRM-based firm conducting field surveys, monitoring, and/or shovel test units
● Experience filling out site forms and working within database-specific requirements
● Experience supervising a crew on a variety of project types and in conjunction with agencies
● Proficiency in using Trimble, Garmin, Geode GPS receivers, and tablets for GPS data collection, in addition to using ArcGIS software.

Preferred:

● One or more years of experience in a supervisory capacity within a CRM-based firm (field and/or administrative) Experience supervising crews across multiple projects of varying types, sizes, and regions, including with agency partners
● Previous work on interdisciplinary teams of subject matter experts and planners
● Knowledge or specialization in one or more related areas (e.g., cultural anthropology, historic archaeology, geography, human-environment relationships, oral histories)
● Relevant work experience in the Pacific Northwest or Great Basin
● Experience supervising multiple large crews in collaboration with agencies or Tribal governments.