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Summer Geospatial Data Science Intern Jobs in Oregon

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 ...

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 ...

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 ...

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.

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.

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.

Provide input on proposals and estimates by contributing project data or lessons learned. * Ensure ... Bachelor's degree in geography, GIS, computer science, or a related field. * Project Management ...

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

GIS Specialist

Portland, OR · On-site

$50K - $95K/yr

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Summer Geospatial Data Science Intern information

What is the difference between Summer Geospatial Data Science Intern vs Summer GIS Intern?

AspectSummer Geospatial Data Science InternSummer GIS Intern
Required CredentialsRelevant coursework in data science, GIS, or related fields; basic programming skillsGIS certifications or coursework; GIS software proficiency
Work EnvironmentData analysis, modeling, programming, and spatial data processingMapping, spatial data management, and GIS software application
Employer & Industry UsageTech companies, environmental agencies, research institutionsGovernment agencies, urban planning firms, environmental organizations

The Summer Geospatial Data Science Intern role focuses on analyzing spatial data using data science techniques and programming, while the Summer GIS Intern emphasizes mapping and managing spatial data with GIS software. Both positions require familiarity with GIS concepts, but the data science internship leans more toward programming and data analysis, whereas the GIS internship centers on mapping and spatial data management.

What are popular job titles related to Summer Geospatial Data Science Intern jobs in Oregon? For Summer Geospatial Data Science Intern jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Summer Geospatial Data Science Intern jobs? Cities in Oregon with the most Summer Geospatial Data Science Intern job openings:
Infographic showing various Summer Geospatial Data Science Intern job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-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.