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Fulltime Data Science Jobs in Remote, OR (NOW HIRING)

SOSi

Data Scientist

OR

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ...

SOSi

Data Scientist

OR · Remote

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ...

SOSi

Data Scientist

OR

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ...

SOSi

Senior Data Scientist

OR · Remote

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

SOSi

Senior Data Scientist

OR

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

SOSi

Senior Data Scientist

OR

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

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All JobsFulltime Data Science JobsFulltime Data Science Jobs in Remote, OR

Fulltime Data Science information

See Remote, OR salary details

$37.5K

$122.6K

$196.3K

How much do fulltime data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for fulltime data science in Remote, OR is $122,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,900.00 per year, depending on experience, location, and employer.

What is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

What are popular job titles related to Fulltime Data Science jobs in Remote, OR?

For Fulltime Data Science jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Fulltime Data Science jobs in Remote, OR look for?

The top searched job categories for Fulltime Data Science jobs in Remote, OR are:

What cities near Remote, OR are hiring for Fulltime Data Science jobs?

Cities near Remote, OR with the most Fulltime Data Science job openings:

Fulltime Data Science jobs near you
Infographic showing various Fulltime Data Science job openings in Remote, OR as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,617 per year, or $59 per hour.

Data Scientist

SOSi

OR

Full-time

Re-posted 18 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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