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Geospatial Data Science Intern Jobs in Oregon (NOW HIRING)

G-P

OR · On-site

$60K/yr

About the position: We are looking for a Data & Analytics Summer Intern to help mature our ... Currently pursuing an Undergraduate or Graduate degree in Data Analytics, Data Science, Information ...

Itron, Inc

OR · On-site

$125K - $225K/yr

Strong knowledge of econometrics, statistics, calculus, and advanced data science methodologies. * Experience working with geospatial data and GISbased forecasting applications. * Exposure to ...

Delfina

OR

$6K/mo

We are looking for a data science-oriented intern to join our Sales Enablement team for summer 2026. In this role, you will apply your analytical skills to help our sales and provider partnerships ...

Cotiviti

Temporary Intern - Data Analytics

$20 - $24/hr

Currently pursuing a Bachelor's degree in Business Analytics, Data Science, Management Information Systems (MIS), Computer Science, or related field. * Junior or Senior standing preferred. * GPA of 3 ...

Portland General Electric

Meteorologist

Tualatin, OR · On-site

Develop relationships and collaborate with both internal and external stakeholders, data scientists ... Demonstrated experience and expertise in the utilization of Python for geospatial data analysis

Trimble

Machine Learning Data Scientist

Lake Oswego, OR

$122K - $165K/yr

... geospatial and transportation. Whether it's helping customers build and maintain infrastructure ... Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred)

G-P

Data Platform Product Intern

OR · Remote

$60K/yr

We are looking for a Data Platform Product Intern to act as a high-leverage partner to our Product ... Currently pursuing an Undergraduate degree in Computer Science, Data Science, Information Systems ...

DKS Associates

Business Analyst Intern

Portland, OR · Hybrid

$30/hr

... data science, marketing, or a related field * Strong written and verbal communication skills ... Intern - $30 DKS is proud to be 100% employee-owned with a commitment to making a meaningful ...

AcuityMD

Data Engineer, Encounters Intelligence

OR · On-site +1

$155K - $220K/yr

... science or similar role, delivering analytic models as Data Products or Data Solutions * You have professional experience working with time series, geospatial, and/or demographic datasets to make ...

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Geospatial Data Science Intern information

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 Oregon? For Geospatial Data Science Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science Intern jobs in Oregon look for? The top searched job categories for Geospatial Data Science Intern jobs in Oregon are:
What cities in Oregon are hiring for Geospatial Data Science Intern jobs? Cities in Oregon with the most Geospatial Data Science Intern job openings:
Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in Oregon as of May 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Data Scientist with Security Clearance

SOSi

Astoria, OR

Other

Posted 14 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 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 develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
* The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
* The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
* 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 * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
* seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
* Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
* 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 within an Agile sprint cycle to deliver iterative improvements.
* Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
* Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.
Preferred Qualifications: * Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). 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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