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Online Statistical Data Analysis Jobs in Remote, OR

SOSi

Data Scientist

OR · On-site +1

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.

SOSi

Data Scientist

OR · Remote

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.

SOSi

Data Scientist

Myrtle Point, OR

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.

SOSi

Senior Data Scientist

OR · Remote

... analytical capabilities. Essential Job Duties ... The contractor shall design and implement advanced ML models and statistical methods to optimize ...

SOSi

Senior Data Scientist

OR · On-site +1

... analytical capabilities. Essential Job Duties ... The contractor shall design and implement advanced ML models and statistical methods to optimize ...

Lumen Technologies

Senior Lead Data Scientist

OR · Remote

Experience developing predictive models, forecasting techniques, statistical analyses, and data-driven decision frameworks. * Experience creating KPI frameworks, business performance measurements ...

New

Roseburg

Quality Technician II

Riddle, OR · On-site

$16.50 - $22/hr

... calibrations, use statistical process control (SPC) tools to lead decision making while coaching basic data analysis to teams and ability to improve quality systems. Key Responsibilities

Roseburg Forest Products

Quality Technician II

Riddle, OR · On-site

$16.50 - $22/hr

... calibrations, use statistical process control (SPC) tools to lead decision making while coaching basic data analysis to teams and ability to improve quality systems. Key Responsibilities

Kemira

Application Specialist, P&HS, North

OR · Remote

$133K - $150K/yr

Ability to perform statistical data analysis to evaluate program performance * Effective communication skills, both verbal and written * Ability to understand and support corporate strategy and the ...

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Online Statistical Data Analysis information

What is online statistical data analysis?

An Online Statistical Data Analysis job involves collecting, processing, and interpreting data using statistical methods and tools in a remote setting. Professionals in this role use software like R, Python, or SPSS to analyze trends, develop predictive models, and provide data-driven insights for decision-making. They may work in various industries, including healthcare, finance, marketing, and research. Strong analytical skills, statistical knowledge, and proficiency in data visualization are essential for success in this field.

What are the typical daily tasks for someone working in online statistical data analysis?

A typical day in Online Statistical Data Analysis involves collecting, cleaning, and organizing large datasets, running statistical analyses, and interpreting the results to inform business decisions or research projects. You’ll frequently use statistical software to create models, produce visualizations, and generate concise reports summarizing key findings. Collaboration is often done remotely via meetings and shared platforms, where you’ll communicate results and recommendations to team members from various departments. Staying current with new analytical techniques and best practices is also a part of the role, ensuring your analyses remain relevant and impactful.

What are the key skills and qualifications needed to thrive in online statistical data analysis?

To thrive in Online Statistical Data Analysis, you need strong quantitative skills, a background in statistics or mathematics, and experience in data interpretation and report writing. Familiarity with statistical software such as R, Python, SPSS, or SAS, and proficiency in handling large datasets are typically required, and certifications in data analytics can be advantageous. Attention to detail, effective communication, and problem-solving abilities are important soft skills for presenting complex findings clearly to various stakeholders. These skills are vital for delivering accurate, actionable data insights and supporting informed decision-making in a remote, data-driven environment.

What are popular job titles related to Online Statistical Data Analysis jobs in Remote, OR?

For Online Statistical Data Analysis jobs in Remote, OR, the most frequently searched job titles are:

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The top searched job categories for Online Statistical Data Analysis jobs in Remote, OR are:

What cities near Remote, OR are hiring for Online Statistical Data Analysis jobs?

Cities near Remote, OR with the most Online Statistical Data Analysis job openings:

Online Statistical Data Analysis jobs near you
Infographic showing various Online Statistical Data Analysis job openings in Remote, OR as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Data Scientist

OR • On-site, Remote

SOSi
See more jobs at SOSiexternal

Full-time

Re-posted 10 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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