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Data Science Intern Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist with Security Clearance

Astoria, OR · On-site

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 ...

Terzo

Data Scientist

OR · On-site +1

You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or AI research with production-shipped systems, not just notebooks and prototypes * Strong statistical ...

Columbia

Principal Data Scientist

Portland, OR

Drive best practices in applying and deploying Data Science at scale YOU ARE * Aptitude to synthesize and create a cohesive picture from a wide variety of information sources * Solid time-management ...

Corvel

Data Scientist II

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

HiddenLayer

Data Scientist

Portland, OR · Remote

This doesn't have to be in data science or ML specifically -- strong backgrounds in CS, statistics, physics, math, engineering, and related fields are all welcome. Your on-the-job experience is what ...

Netflix

OR · On-site

$372K - $600K/yr

Data Science and Engineering (DSE) at Netflix is aimed at using data, analytics, causal inference, machine learning, and sciences to improve various aspects of our business. The AI initiative at ...

Netflix

OR

$372K - $600K/yr

Our Commerce Data Science team works with a broad range of collaborators and stakeholders, including Product, Engineering, and Finance, to inform commerce strategy and data-informed decision-making ...

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How much do data science intern jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data science intern in Oregon is $23.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.91 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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Data Science Intern jobs near you
Data Scientist with Security Clearance

Data Scientist with Security Clearance

SOSi

Astoria, OR • On-site

Other

Posted 11 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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