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Computer Science Data 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 (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

GHX

OR · On-site

$67K - $89K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or related degree * 5+ years of experience writing complex SQL queries including nested joins, temporary tables, aggregations ...

CookUnity

OR · On-site

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

Waymark

OR · On-site

Master's degree in Data Science, Biostatistics, Health Informatics, Computer Science, or a related field. * Python Proficiency: 7-8+ years of hands-on experience in Python, including data science and ...

HealthEquity

The Manager Data Program Management reports to the Chief Data Officer. What you'll be doing ... Bachelor's degree in Business, Computer Science, Engineering, or related discipline or equivalent ...

Deloitte

Data Scientist

Portland, OR · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience * 5+ Years of Experience in a Data Science or ...

Baylor Scott & White Health

$114K/yr

The Data Scientist 2 creates complex machine learning models used to identify key data features ... Master's degree in a quantitative field like computer science, engineering, statistics, mathematics ...

KEEN

Sr. Director, Data & Analytics

Portland, OR · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. • Minimum twelve (12) years of progressive ...

KEEN

Sr. Director, Data & Analytics

Portland, OR · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required. • Minimum twelve (12) years of progressive ...

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Computer Science Data information

What are some common challenges faced by professionals working in computer science data roles, and how can they be addressed?

Professionals in computer science data roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and keeping up with rapidly evolving technologies. Collaboration with cross-functional teams is essential, as data professionals frequently work with engineers, analysts, and business stakeholders to interpret data and deliver actionable insights. To address these challenges, it's important to invest in continuous learning, leverage automation tools for data cleaning, and maintain clear communication channels within the team.

What is the difference between Computer Science Data vs Data Analyst?

AspectComputer Science DataData Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentSoftware development, data engineering, algorithm designData interpretation, reporting, visualization
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing, healthcare
Common Search & ComparisonOften compared for data handling and programming skillsCompared for data interpretation and business insights

Computer Science Data professionals focus on developing algorithms, managing data systems, and building software solutions. Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles work with data, their core responsibilities and skill sets differ significantly.

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

To thrive as a Data Scientist in Computer Science, you need strong analytical skills, proficiency in statistics, and a solid background in programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, and machine learning frameworks, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Excellent problem-solving abilities, communication skills, and curiosity help you interpret data insights and explain findings to non-technical stakeholders. These skills ensure you can extract actionable insights from complex data, drive business decisions, and collaborate effectively within multidisciplinary teams.

What is computer science data?

Computer science data refers to the information that is processed, analyzed, and utilized within the field of computer science. This data can include anything from raw numbers and text to images, audio, and video, and is often used in programming, machine learning, artificial intelligence, databases, and data analysis. Understanding how to collect, store, structure, and interpret data is a fundamental skill for computer scientists and is crucial for solving real-world problems using technology.
What cities in Oregon are hiring for Computer Science Data jobs? Cities in Oregon with the most Computer Science Data job openings:
Computer Science Data jobs near you
Infographic showing various Computer Science Data job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 3 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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