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Overnight Exploratory Data Analysis Jobs in Myrtle Point, OR

Data Scientist

OR · On-site +1

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 ...

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 ...

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 ...

Proactively identify potential instances of fraud, waste, and abuse through data analysis using ... Hands-on experience exploring and investigating potential medical billing errors/fraud using ...

Senior Business Analyst

OR · On-site +1

$86K - $112K/yr

Provide guidance and a support to the business analysis team while acting as a Subject Matter ... With agile intelligence, Sapiens' solutions turn real-time data and human insight into precise ...

Proficient with the use of personal computers to gather, analyze, and summarize data. Excellent ... Ability to travel within assigned geographical area, overnight as needed. Preferences * Labor ...

Leverage AI tools for data-driven competitor analysis, content reuse, and proposal optimization ... Continuously explore how AI can improve accuracy, speed, and competitiveness in the bid process.

Leverage AI tools for data-driven competitor analysis, content reuse, and proposal optimization ... Continuously explore how AI can improve accuracy, speed, and competitiveness in the bid process.

Leverage AI tools for data-driven competitor analysis, content reuse, and proposal optimization ... Continuously explore how AI can improve accuracy, speed, and competitiveness in the bid process.

Leverage AI tools for data-driven competitor analysis, content reuse, and proposal optimization ... Continuously explore how AI can improve accuracy, speed, and competitiveness in the bid process.

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Showing results 1-20

Overnight Exploratory Data Analysis information

See Myrtle Point, OR salary details

$31.9K

$77.5K

$127.5K

How much do overnight exploratory data analysis jobs pay per year?

As of Aug 31, 2026, the average yearly pay for overnight exploratory data analysis in Myrtle Point, OR is $77,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Exploratory Data Analysis vs Data Analyst?

AspectOvernight Exploratory Data AnalysisData Analyst
CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in similar fields
Work EnvironmentTypically in data teams, often during night shifts for real-time insightsOffice or remote, regular hours
Industry UsageUsed for quick, overnight data insights, often in finance, tech, or e-commerceOngoing data reporting and analysis across industries
Search IntentUnderstanding overnight data analysis tasks and skillsGeneral data analysis roles and responsibilities

Overnight Exploratory Data Analysis focuses on quick, real-time data insights during night shifts, often for immediate decision-making. In contrast, Data Analysts perform ongoing, comprehensive data analysis during regular hours, supporting strategic business decisions across various industries.

Data Scientist

OR • On-site, Remote

Full-time

Re-posted 16 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.