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Remote Data Science Intern Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

HiddenLayer

Data Scientist

Portland, OR · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Bluesight

Data Scientist

OR · Remote

$130K - $150K/yr

Degree or equivalent years of experience in data science, statistics, computer science, or similar ... This position is a remote position and open to applicants in the continental United States. Why ...

Corvel

Data Scientist II

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

YipitData

Data Scientist, Corporate

OR · On-site +1

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

SOSi

Senior Data Scientist

OR · On-site +1

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Nextdoor

Data Scientist - Search

OR · On-site +1

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

New

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ... support reporting, analytics, applications, data science, and AI-enabled workflows.

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 ...

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Remote Data Science Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Oregon? The most popular types of Remote Data Science jobs in Oregon are:
What are popular job titles related to Remote Data Science Intern jobs in Oregon? For Remote Data Science Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Oregon look for? The top searched job categories for Remote Data Science Intern jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Science Intern jobs? Cities in Oregon with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 29 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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