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Geospatial Data Science Intern Jobs in Remote, OR

SOSi

Senior Data Scientist

OR · On-site +1

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...

SOSi

Senior Data Scientist

Myrtle Point, OR

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...

SOSi

Senior Data Scientist

OR · On-site

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical ...

SOSi

Data Scientist

OR

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.

SOSi

Data Scientist

Myrtle Point, OR

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.

SOSi

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Knowledge of data visualization, feature selection, and geospatial analytics is required.

Servier

Policy & Impact Quantification Intern

OR · Remote

$34/hr

As a privately held organization, Servier is uniquely positioned to advance cutting-edge science ... Quantify financial and operational effects of policy changes using data-driven methodologies.

Servier

Policy & Impact Quantification Intern

OR · On-site +1

$34/hr

As a privately held organization, Servier is uniquely positioned to advance cutting-edge science ... Quantify financial and operational effects of policy changes using data-driven methodologies.

LEARN COLLABORATE INC

Be Seen First

Startup Operations & Investor Relations Intern ($800 Monthly Stipend)

OR · Remote

$1K/yr

Maintain, clean, and track investor data and pipeline interactions within HubSpot . * Investor ... As a mission-driven startup backed by the National Science Foundation, we are building a dynamic ...

LEARN COLLABORATE INC

Be Seen First

Startup Operations & Investor Relations Intern ($800 Monthly Stipend)

OR · Remote

$1K/yr

Maintain, clean, and track investor data and pipeline interactions within HubSpot . * Investor ... As a mission-driven startup backed by the National Science Foundation, we are building a dynamic ...

All JobsGeospatial Data Science Intern JobsGeospatial Data Science Intern Jobs in Remote, OR

Geospatial Data Science Intern information

See Remote, OR salary details

$12

$22

$42

How much do geospatial data science intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for geospatial data science intern in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

What types of projects or tasks can a Geospatial Data Science Intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What is a Geospatial Data Science Intern job?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What are the key skills and qualifications needed to thrive in the Geospatial Data Science Intern position, and why are they important?

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

What are popular job titles related to Geospatial Data Science Intern jobs in Remote, OR? For Geospatial Data Science Intern jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science Intern jobs in Remote, OR look for? The top searched job categories for Geospatial Data Science Intern jobs in Remote, OR are:
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Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in Remote, OR as of May 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $46,763 per year, or $22.5 per hour.

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 24 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.

Apply