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Data Science Analyst Intern Jobs in Remote, OR (NOW HIRING)

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.

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.

As a privately held organization, Servier is uniquely positioned to advance cutting-edge science ... Strong foundation in quantitative analysis and data modeling. Travel and Location * No travel ...

As a privately held organization, Servier is uniquely positioned to advance cutting-edge science ... Strong foundation in quantitative analysis and data modeling. Travel and Location * No travel ...

... data science, data analytics, data modeling, experimentation * Advanced-level proficiency in Python and SQL . * Excellent communication and collaboration skills, with demonstrated experience ...

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance. * Master's degree in Data Science, Machine Learning, Statistics, or a related ...

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance. * Master's degree in Data Science, Machine Learning, Statistics, or a related ...

Senior Data Scientist

OR · On-site +1

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance. * Master's degree in Data Science, Machine Learning, Statistics, or a related ...

Senior Data Scientist

OR · On-site +1

... best science and commitment to quality into everything that we do. * Mission: * Use the data prepared by the Data Engineer to run analysis using different tools and methodologies and provide the ...

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

Build predictive models and apply data science techniques - including regression, clustering, and time-series analysis - to support funnel analysis, ARPU forecasting, churn prediction, and ...

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... Coordinate with the Data Science department to identify future needs and requirements * Provide ...

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... Coordinate with the Data Science department to identify future needs and requirements * Provide ...

Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ... Strong analytical skills and ability to approach tasks in a scientific manner. * Background in SIU ...

Intern

OR · On-site +1

$14 - $18.75/hr

... data management, analytics, governance, and strategy. Operating globally across industries, Syniti ... The Legal Intern will assist with a wide range of activities including legal operations, compliance ...

Intern

OR

$14 - $18.75/hr

... data management, analytics, governance, and strategy. Operating globally across industries, Syniti ... The Legal Intern will assist with a wide range of activities including legal operations, compliance ...

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Data Science Analyst Intern information

See Remote, OR salary details

$12

$22

$42

How much do data science analyst intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data science analyst intern 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 does a Data Science Analyst Intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a Data Science Analyst Intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a Data Science Analyst Intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What job categories do people searching Data Science Analyst Intern jobs in Remote, OR look for? The top searched job categories for Data Science Analyst Intern jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Science Analyst Intern jobs? Cities near Remote, OR with the most Data Science Analyst Intern job openings:

Full-time

Posted 23 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.