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Geospatial Jobs in Remote, OR (NOW HIRING)

SOSi

Senior Data Scientist

OR · On-site +1

Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. * Possess the knowledge and capability to develop advanced machine learning models and ...

SOSi

Senior Data Scientist

OR · On-site

Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. * Possess the knowledge and capability to develop advanced machine learning models and ...

Lumen Technologies

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

Also responsible for creating, modifying, researching, and maintaining various types of geospatial data (polygons, KMZ, SHP). Location This is a Work from Home position within the U.S. The Main ...

SOSi

Data Scientist

OR

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

SOSi

Data Scientist

OR · On-site +1

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

All JobsGeospatial JobsGeospatial Jobs in Remote, OR

Geospatial information

See Remote, OR salary details

$18

$29

$46

How much do geospatial jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for geospatial in Remote, OR is $29.12, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $33.85 per hour, depending on experience, location, and employer.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs and CFOs, specialized medical professionals like neurosurgeons, and successful entrepreneurs. Certain senior roles in finance, law, and technology, especially with bonuses and stock options, can also achieve this level of income, often requiring extensive experience, advanced skills, and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Geospatial Analyst, and why are they important?

To thrive as a Geospatial Analyst, you need a solid grounding in geography, data analysis, spatial reasoning, and typically a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools, and spatial databases is essential, and certifications like GISP can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights. These skills enable accurate mapping and analysis, which are critical for informed decision-making in sectors like urban planning, environmental management, and logistics.

Is GIS a high demand job?

Geospatial jobs, including GIS specialists, are in high demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data analysis and mapping tools like ArcGIS and QGIS. Employers seek professionals with skills in data management, spatial analysis, and certifications, leading to strong job growth prospects.

What are geospatial jobs?

Geospatial jobs involve working with geographic information systems (GIS), remote sensing, mapping, and spatial data analysis. These professionals collect, analyze, and interpret data related to the Earth’s surface to support decision-making in fields like urban planning, environmental science, transportation, and defense. Typical roles include GIS analysts, cartographers, remote sensing specialists, and geospatial data scientists. Geospatial professionals use specialized software to visualize and analyze data, helping organizations solve complex spatial problems.

What are some common challenges faced by geospatial professionals when integrating data from multiple sources?

Geospatial professionals often encounter challenges when integrating data from various sources, such as inconsistencies in data formats, varying levels of accuracy, and differences in coordinate reference systems. Ensuring data compatibility and maintaining data integrity can be time-consuming, especially when dealing with legacy datasets or unstructured data. Effective communication with stakeholders and strong problem-solving skills are essential for resolving these issues and delivering reliable geospatial analyses.

What are geospatial careers?

Geospatial careers involve working with geographic information systems (GIS), remote sensing, cartography, and spatial analysis to collect, analyze, and interpret geographic data. These roles often require proficiency with GIS software, GPS technology, and spatial data management, and can be found in sectors like urban planning, environmental management, and defense.

Are GIS jobs hard to get?

GIS jobs can be competitive, especially for entry-level positions, but having relevant skills such as proficiency in GIS software like ArcGIS or QGIS, along with a strong educational background or certifications, can improve your chances. Gaining experience through internships or projects also helps in securing these roles.

What is the difference between Geospatial vs GIS Technician?

AspectGeospatialGIS Technician
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, associate or bachelor’s in GIS or related fields
Work EnvironmentFieldwork, data collection, analysis, mapping projectsOffice-based, GIS software operation, data management
Industry UsageUsed across environmental, urban planning, defense, and transportation sectorsPrimarily in urban planning, government agencies, and environmental firms

Both Geospatial and GIS Technician roles involve working with geographic data, but Geospatial is broader, encompassing data collection, analysis, and interpretation across various platforms. GIS Technicians focus more on managing GIS software and data within office environments. Understanding these differences helps in choosing the right career path or job search focus.

What Are Geospatial Jobs?

Geospatial jobs are those where you use GPS and GIS technology to gather information to understand spatial relations between objects and locations on Earth. Geospatial jobs include titles such as geospatial manager, project manager, GIS analyst, GIS specialist, geospatial analysis management specialist, GIS developer, geospatial engineer, and GIS coordinator. The responsibilities of these jobs vary. Your duties may be more project management and supervisory related, more focused on technical design and data analysis, or you may be required to provide technical support and maintenance for GIS and GPS technology.

What is a geospatial job?

A geospatial job involves working with geographic data and mapping technologies to analyze, interpret, and visualize spatial information. Common tools include Geographic Information Systems (GIS) software, and roles often require skills in data analysis, cartography, and spatial reasoning.
More about Geospatial jobs
What are popular job titles related to Geospatial jobs in Remote, OR? For Geospatial jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Geospatial jobs in Remote, OR look for? The top searched job categories for Geospatial jobs in Remote, OR are:
What cities near Remote, OR are hiring for Geospatial jobs? Cities near Remote, OR with the most Geospatial job openings:
Geospatial jobs near you
Infographic showing various Geospatial job openings in Remote, OR as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $60,567 per year, or $29.1 per hour.

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 16 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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