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Home Based Data Storage Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

OR

The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles ... costs, storage consumption, and infrastructure requirements. * The contractor shall conduct ...

WEKA

Designated Service Engineer - Ceph Expert

OR · On-site +1

It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and ... based object storage environments. In parallel, you will play a key role in ensuring WEKA ...

Twist Bioscience

Sr Systems Engineer

Portland, OR · On-site

$110K - $151K/yr

In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our ...

Vailexa

Data Center Technician - L2

Hillsboro, OR · On-site

... feel right at home here. * Perform rack, stack, and cable installation of servers, storage ... Partner with Data Center Engineers and Network teams during deployments and migrations. * Adhere ...

Vailexa

Data Center Technician - L2

Hillsboro, OR · On-site

... feel right at home here. * Perform rack, stack, and cable installation of servers, storage ... Partner with Data Center Engineers and Network teams during deployments and migrations. * Adhere ...

Twist Bioscience

Sr Systems Engineer

Portland, OR · On-site

$110K - $151K/yr

In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our ...

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All JobsHome Based Data Storage JobsHome Based Data Storage Jobs in Oregon

Home Based Data Storage information

What is the difference between Home Based Data Storage vs Data Center Technician?

AspectHome Based Data StorageData Center Technician
CredentialsIT certifications, data management skillsIT certifications, network and hardware skills
Work EnvironmentRemote, home office setupOn-site data center facilities
Industry UsageData management, cloud storage servicesData center operations, hardware maintenance
Search & Comparison IntentRemote data storage jobs, data management rolesData center jobs, hardware technician roles

Home Based Data Storage roles focus on managing and maintaining data remotely, often involving cloud services and data security from a home setup. Data Center Technicians work on-site in physical data centers, handling hardware, network equipment, and infrastructure. Both roles require IT certifications but differ mainly in work environment and job responsibilities.

What are the most commonly searched types of Data Storage jobs in Oregon?

The most popular types of Data Storage jobs in Oregon are:

What are popular job titles related to Home Based Data Storage jobs in Oregon?

For Home Based Data Storage jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Home Based Data Storage jobs in Oregon look for?

The top searched job categories for Home Based Data Storage jobs in Oregon are:

What cities in Oregon are hiring for Home Based Data Storage jobs?

Cities in Oregon with the most Home Based Data Storage job openings:

Home Based Data Storage jobs near you
Infographic showing various Home Based Data Storage job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

SOSi

OR

Full-time

Re-posted 21 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.