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Python Data Analysis Internship Jobs in Remote, OR

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.

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.

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.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Experience with scripting or automation using PowerShell, Python, or similar tools. KNOWLEDGE ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

Sr. Data Analytics Engineer

OR · Remote

$117K - $140K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

Lead root-cause analysis and long-term fixes for complex data issues. Leadership & Collaboration ... Advanced Python for automation, orchestration, and engineering workflows. * Working knowledge of ...

... analytical solutions and measurable outcomes. * Advanced proficiency in SQL and Python ... Experience working with both structured and unstructured data sources. * Excellent communication ...

... Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ...

... Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ...

... Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ...

AI Engineer

OR · On-site +1

Strong analytical, communication, and problem-solving skills. Preferred Qualifications ... Data Science, Artificial Intelligence, or related field. * Python • Azure OpenAI • OpenAI APIs ...

Strong analytical, communication, and problem-solving skills. Preferred Qualifications ... Data Science, Artificial Intelligence, or related field. * Python • Azure OpenAI • OpenAI APIs ...

AI Engineer

OR · Remote

Develop intelligent automation solutions for test case generation, defect analysis, knowledge ... Data Science, Artificial Intelligence, or related field. Python * Azure OpenAI * OpenAI APIs

Develop intelligent automation solutions for test case generation, defect analysis, knowledge ... Data Science, Artificial Intelligence, or related field. Python * Azure OpenAI * OpenAI APIs

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... AWS Services MWAA EMR S3 EKS IAM Neptune Programming Python Operational processes Ticketing systems ...

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Python Data Analysis Internship information

See Remote, OR salary details

$12

$22

$42

How much do python data analysis internship jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python data analysis internship in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python data analysis internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What are the most commonly searched types of Python Data Analysis jobs in Remote, OR?

The most popular types of Python Data Analysis jobs in Remote, OR are:

What are popular job titles related to Python Data Analysis Internship jobs in Remote, OR?

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

What job categories do people searching Python Data Analysis Internship jobs in Remote, OR look for?

The top searched job categories for Python Data Analysis Internship jobs in Remote, OR are:

Infographic showing various Python Data Analysis Internship job openings in Remote, OR as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $46,763 per year, or $22.5 per hour.

Data Scientist

OR • On-site, Remote

Full-time

Re-posted 24 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.