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Remote Computer Science Certificate Jobs in Oregon

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... or Certified Data Scientist (CDS). Additional Information Work Environment * Full remote ...

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a ... Remote, together At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... or CERTIFICATION REQUIREMENTS * Master of Science degree in Data Science, Statistics, Computer ...

Additional Desired Qualifications, Skills, Certifications * Experience working with LLM frameworks ... Bachelor's degree (in Engineering, Computer Science, Math, or related field) Minimum Years of ...

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Remote Computer Science Certificate information

What are the main challenges of completing a remote Computer Science certificate program while working full-time?

Balancing work responsibilities with coursework is a common challenge for those pursuing a remote Computer Science certificate while employed full-time. Time management and self-discipline are essential, as you’ll need to set aside regular study hours and meet assignment deadlines independently. Additionally, limited face-to-face interaction with instructors and classmates means you’ll need to proactively seek support and participate in virtual discussions. However, many programs offer flexible schedules, recorded lectures, and online forums to help you stay connected and on track.

What is a Remote Computer Science Certificate?

A Remote Computer Science Certificate is a credential earned by completing a computer science program online, rather than in a traditional classroom setting. These certificates are offered by universities and educational platforms and cover topics such as programming, algorithms, data structures, and more. They are designed for individuals who want to gain foundational or specialized knowledge in computer science, often to boost their careers or transition into tech roles. Remote certificates offer flexibility, allowing learners to study from anywhere and often at their own pace.

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

To thrive as a Remote Computer Science Instructor, you need a solid background in computer science fundamentals, programming languages, and a relevant degree or certifications. Familiarity with online teaching platforms, coding environments, and learning management systems (LMS) is essential. Strong communication, adaptability, and the ability to motivate and engage remote learners are key soft skills. These competencies enable effective knowledge transfer, student engagement, and successful outcomes in an online educational environment.
What are popular job titles related to Remote Computer Science Certificate jobs in Oregon? For Remote Computer Science Certificate jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Certificate jobs in Oregon look for? The top searched job categories for Remote Computer Science Certificate jobs in Oregon are:
What cities in Oregon are hiring for Remote Computer Science Certificate jobs? Cities in Oregon with the most Remote Computer Science Certificate job openings:
Data Scientist

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 22 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.