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Spatial Data Science Jobs in Oregon (NOW HIRING)

AP Human Geography Tutor

OR · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Senior / Staff Software Engineer, Mapping

OR · On-site +1

$141K - $242K/yr

... science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures. - Prove ability to work across various programming ...

... in life science molecular research, in applied and pharma applications, in microscopy and ... spatial proteomics and single-cell data - to support discovery of new drugs, therapies, and ...

... in life science molecular research, in applied and pharma applications, in microscopy and ... spatial proteomics and single-cell data - to support discovery of new drugs, therapies, and ...

... in life science molecular research, in applied and pharma applications, in microscopy and ... spatial proteomics and single-cell data - to support discovery of new drugs, therapies, and ...

... and spatial biology. With the launch of new platforms such as Atera and Flex Apex, along with ... Connections with leaders within the AI/ML, life sciences, pharma, or clinical sectors that would ...

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Showing results 1-20

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 Jul 1, 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 GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

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.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

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:
Associate or Full Professor of Data Science

Associate or Full Professor of Data Science

University of Oregon

Eugene, OR • On-site

Full-time

Medical, Retirement, PTO

Posted 22 days ago


University Of Oregon rating

7.2

Company rating: 7.2 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

337th of 544 rated colleges and universities


Job description

Associate or Full Professor of Data Science
Job no: 535565
Work type: Faculty - Tenure Track
Location: Eugene, OR
Categories: Research/Scientific/Grants, Instruction, Math, Computer and Information Science, Data Science
Department:Arts & Sciences, College of
Department: Data Science
Rank: Associate Professor
Annual Basis: 9 Month
Application Deadline
October 31, 2025
Required Application Materials
Candidates are asked to apply online at https://academicjobsonline.org/ajo/jobs/30328 by submitting the following required application materials:
• Cover letter*
• Curriculum Vitae
*A cover letter (3 page max) summarizing your interest in and suitability for the position, including an overview and/or highlights of your a) research program, b) teaching experiences and interests, c) service contributions to science, academia, and the broader public, and d) professional contributions to creating welcoming and supportive scientific and learning spaces for individuals from a wide range of backgrounds and perspectives, with the goal of fostering a strong sense of belonging and mutual respect.
Applicants advancing to a later stage will be asked to submit:
• Research statement
• Teaching statement
• Service statement
• Three references (no actual letters, just names and email addresses)
Applications will be accepted until October 31st or until the post has been filled. If you are unable to use this online resource, please contact datascience@uoregon.edu to arrange alternate means of submitting application materials. Applicants who advance to subsequent rounds will be asked to provide a research statement, teaching statement, service statement, and references.
Position Announcement
We enthusiastically invite established interdisciplinary scholars to apply to join and collaboratively develop our Department of Data Science. We invite applications from researchers working in Data Science, broadly defined, including those who contribute to data analysis methodology for applied domain(s), as well as those whose research focuses directly on the methodology itself (e.g., computer science, statistics, or applied math). We are building a Data Science department that promotes social good and enhances belonging in the field. Strong faculty candidates will therefore have demonstrated impactful contributions to both inclusive education and broader societal impact. We encourage applications from candidates with a history of collaboration with domain experts.
The colleague we hire will join an engaged and collaborative faculty to co-create a supportive department that makes positive and impactful contributions to the University, to the public of Oregon, and to the globe. To do so, the colleague will contribute to identification of strategic opportunities for our growing department that guide future faculty hiring, foster and support the department's faculty in research excellence, co-create a constructive department culture and continue to expand our educational mission at the undergraduate and graduate level. Some current efforts of the department are to improve outreach to underserved student populations to bolster admissions, and to develop internship and other programs to aid graduates in career placement.
Strong candidates will have demonstrated their ability and vision for building positively engaged spaces, programs, or organizations. Strong candidates will also have a history of excellent research scholarship; as befits an interdisciplinary department, we are open to various metrics of research success beyond grants, citations, and publications (including policy impact, community engagement in research, collaborative projects, etc.). Strong candidates will also have demonstrated excellence in and commitment to teaching, translation of knowledge, or advising/mentoring of students (including out-of-classroom education). We are excited to grow a mutually supportive culture of impactful teaching and research in our new department. We welcome candidates who understand the barriers facing members of groups who have been historically excluded from data science and higher education (as evidenced by life experiences and educational background), and who have experience in improving belonging with respect to teaching, mentoring, outreach, life experiences, or service. We seek to hire an established scholar (appointable to associate or full professor), which includes faculty currently going through the tenure process and researchers with careers in federal agencies.
More information about the Data Science department can be found at https://scds.uoregon.edu/ds. Particular strengths of collaborative research at UO include astronomy, biomedical data science, climate science and modeling, cell and developmental biology, data ethics, earth science, ecology, education, environmental science, evolution, linguistics, neuroscience, physics, spatial information sciences and sport and wellness, although we welcome applicants from other disciplines.
Department or Program Summary
Data Science is a new department that has grown out of a long-standing initiative to increase scholarship and education in quantitative methodology at the University of Oregon. We envision the Data Science Department to be a hub of ethical methodological data science research, with strong connections to domain areas of application, overall facilitating interdisciplinary collaboration across the university. Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and modeling, evolutionary genetics, and forensic genetics. The University of Oregon is a public university committed to exceptional teaching, discovery, and service, with a mission to foster the next generation of transformational leaders and informed participants in the global community. The department offers a rapidly growing Data Science undergraduate program, offered for the first time in Fall 2020 and projected to have > 700 undergraduate majors in 2027.
This program aims to help students learn the technical data science skills to do socially/environmentally-connected interdisciplinary work with real world impact. Faculty in the department of Data Science can work with PhD students and integrate in specialized research communities through affiliations with world-class research Institutes on campus (e.g., the Institute of Neuroscience; the Institute of Ecology and Evolution; Center for the Study of Women in Society).
Minimum Requirements
• PhD in discipline related to data science (ex: statistics, computer science, applied mathematics, or a domain field with strong involvement in data science methodology applied in that field)
• Appointable to the rank of Associate or Full Professor upon initiation of the position
Preferred Qualifications
• Demonstrated success in collaboratively co-organizing spaces that prioritize belonging
• Exemplary evidence of impact beyond academia through research, teaching, and/or service
• Demonstrated experience leading a productive and impactful research program aligned with the goals of the department
About the University
The University of Oregon is building a faculty committed to meeting the needs of our changing student body and creating essential knowledge for society. We encourage applications from individuals who want to join an institution committed to addressing complex problems at all scales, and critical thinking and cross-disciplinary dialogue. We believe the way to create the faculty we need is to develop the most inclusive applicant pool. Goal 03 of our new (2024) strategic plan, titled Oregon Rising, is to create a flourishing community. As outlined in Oregon Rising, "Flourishing is the holistic development and thriving of every individual in our diverse community achieved through growth, well-being, resilience, trust, belonging, robust connection, and sense of purpose. A flourishing community is built on collective experience and is made stronger by our shared commitment to one another.
All offers of employment are contingent upon successful completion of a background check.
The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit our website.
The University of Oregon is an equal opportunity institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please email us or call 541-346-5112.
UO prohibits discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy (including pregnancy-related conditions), age, physical or mental disability, genetic information (including family medical history), ancestry, familial status, citizenship, service in the uniformed services (as defined in federal and state law), veteran status, expunged juvenile record, and/or the use of leave protected by state or federal law in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Office of Equal Opportunity and Access. Contact information, related policies, and complaint procedures are listed here.
In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online.
Advertised: 13 Aug 2025 Pacific Daylight Time
Applications close:
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