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Remote 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 ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Lumen Technologies

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

  • Medical

  • Life

Also responsible for creating, modifying, researching, and maintaining various types of geospatial ... Benefits Bonus Structure #LI-Remote Requisition #: 342360 Life at Lumen Life at Lumen is human and ...

SOSi

Data Scientist

OR · On-site +1

Knowledge of data visualization, feature selection, and geospatial analytics is required ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

All JobsGeospatial JobsRemote Geospatial JobsRemote Geospatial Jobs in Remote, OR

Remote Geospatial information

See Remote, OR salary details

$18

$29

$46

How much do remote geospatial jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote 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 are the key skills and qualifications needed to thrive in the remote geospatial position, and why are they important?

To excel as a Remote Geospatial professional, a strong background in geographic information systems (GIS), spatial data analysis, and cartography is typically required, often supported by a degree in geography, environmental science, or a related field. Familiarity with technical tools such as ArcGIS, QGIS, remote sensing software, and certifications like GISP enhance technical proficiency. Strong communication skills, self-motivation, and the ability to collaborate virtually are important soft skills for remote work environments. These capabilities are crucial for accurately analyzing spatial data, solving client problems, and efficiently contributing to distributed teams.

What is a remote geospatial?

A Remote Geospatial job involves analyzing and interpreting geographic data using technologies like GIS, remote sensing, and GPS from a remote location. Professionals in this field work with maps, satellite imagery, and spatial data to support industries such as environmental science, urban planning, disaster management, and agriculture. These roles require proficiency in geospatial software and data analysis, as well as strong problem-solving skills. Remote positions allow professionals to collaborate with teams and clients globally while using cloud-based tools for data processing and visualization.

What does a remote geospatial do?

A typical day as a Remote Geospatial professional often involves processing and analyzing spatial data, creating maps and visualizations, and collaborating with team members through virtual meetings or project management platforms. You may work closely with clients or internal stakeholders to clarify project requirements and deliver geospatial insights that inform decision-making. Daily tasks can also include data cleaning, maintaining spatial databases, and producing reports or presentations. Since the role is remote, strong organizational skills and proactive communication are key to managing your workload and meeting project deadlines efficiently.

What are popular job titles related to Remote Geospatial jobs in Remote, OR? For Remote Geospatial jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Geospatial jobs in Remote, OR look for? The top searched job categories for Remote Geospatial jobs in Remote, OR are:
What cities near Remote, OR are hiring for Remote Geospatial jobs? Cities near Remote, OR with the most Remote Geospatial job openings:
Remote Geospatial jobs near you
Infographic showing various Remote Geospatial job openings in Remote, OR as of August 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 100% 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

Re-posted 27 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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