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Data Reviewer Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

Myrtle Point, OR

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ...

SOSi

Data Scientist

OR

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance ...

Natera

Senior Clinical Scientist, ECD

OR · On-site +1

This role is central to leading study execution, clinical data review, study design, and generation of scientific insights across multiple studies. The successful candidate will contribute ...

WIZELINE

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Partner with information architecture to provide feedback on conceptual models and review logical and physical data models * Partner with information architecture on naming standards * Provide data ...

Aptive

Submit periodic reports to the Oncology Data Lead using VA-approved trackers documenting case review results. * Tracker reports must include at minimum: * Facility Identification Number (FIN)

Origami Risk LLC

Data Consultant

$92K - $115K/yr

If applicable, in conjunction with shared services, maintains relationships with Data and other Technical resources at TPA and Carrier IT organizations and reviews and implements changes to Origami ...

Johnstone Supply LLC

Data Architect

Portland, OR

$67.50 - $87/hr

Design end-to-end data architecture across ingestion, storage, modeling, and consumption layers ... Review and guide solution designs produced by engineering and delivery teams * Ensure the platform ...

Johnstone Supply LLC

Data Architect

Portland, OR · On-site

$67.50 - $87/hr

Design end-to-end data architecture across ingestion, storage, modeling, and consumption layers ... Review and guide solution designs produced by engineering and delivery teams * Ensure the platform ...

Johnstone Supply LLC

Data Architect

Portland, OR

$67.50 - $87/hr

Design end-to-end data architecture across ingestion, storage, modeling, and consumption layers ... Review and guide solution designs produced by engineering and delivery teams * Ensure the platform ...

360training

Data Architect Manager

Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations. * Experience improving legacy data environments with complex pipelines ...

Cotiviti

$78K - $120K/yr

Overview The Data Engineer is responsible for architecting, developing, and maintaining scalable ... Deliver solutions using Agile development processes and participate in code reviews for adherence ...

Bluesight

Data Scientist

OR · Remote

$130K - $150K/yr

Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions. Required Qualifications: * Degree or equivalent years of experience in data ...

TSMG

Data collector / Driver

Salem, OR · On-site

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

iHerb

OR · On-site

$114K - $137K/yr

Reviews requirements, identifies gaps, and drives resolution with stakeholders. * Identifies and ... Partners with data scientists to design, build, and maintain reproducible machine-learning ...

Pwc

Data Governance- Manager

Portland, OR · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts ...

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All JobsData Reviewer JobsData Reviewer Jobs in Oregon

Data Reviewer information

See Oregon salary details

$13

$27

$45

How much do data reviewer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data reviewer in Oregon is $27.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $38.37 per hour, depending on experience, location, and employer.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is the Job of a Data Reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

What are Data Reviewers?

Data Reviewers are professionals responsible for examining, verifying, and validating data to ensure its accuracy, completeness, and compliance with established standards or regulations. They typically work with large datasets, reviewing and identifying errors or inconsistencies, and may also recommend or implement corrective actions. Data Reviewers play a crucial role in maintaining the quality and reliability of information used in various industries, such as healthcare, finance, and research.

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

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

What is a data reviewer's job?

A data reviewer is responsible for examining and validating data for accuracy, completeness, and consistency. They often use tools like spreadsheets or data management software and may follow established guidelines or standards to ensure data quality in various organizational contexts.

What jobs make $1,000,000 a year?

In the field of data review, high-level roles such as Chief Data Officer or senior data executives can earn close to or exceeding $1 million annually, especially in large corporations. These positions typically require extensive experience, advanced skills in data management and analytics, and often involve leadership responsibilities and strategic decision-making.

How does a Data Reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the data reviewed. They often work with electronic data capture tools and may require knowledge of regulatory standards like GCP and FDA guidelines.

Is 40 too late for data science?

A Data Reviewer role involves analyzing and validating data quality, and transitioning into data science at age 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications or additional training, making age less of a barrier than skill and experience.
More about Data Reviewer jobs
What are popular job titles related to Data Reviewer jobs in Oregon? For Data Reviewer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Reviewer jobs in Oregon look for? The top searched job categories for Data Reviewer jobs in Oregon are:
What cities in Oregon are hiring for Data Reviewer jobs? Cities in Oregon with the most Data Reviewer job openings:
What are popular job titles related to Data Reviewer jobs in OR? For Data Reviewer jobs in OR, the most frequently searched job titles are:
Data Reviewer jobs near you
Infographic showing various Data Reviewer job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,710 per year, or $27.7 per hour.
Data Scientist

Data Scientist

SOSi

Myrtle Point, OR

Full-time

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.