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Data Science Intern Jobs in Springfield, VA (NOW HIRING)

VTG

Data Scientist

Chantilly, VA · On-site

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment. * Design and implement predictive models, NLP solutions ...

VTG

Data Scientist

Mclean, VA

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

PotomacWave

Data Scientist

Washington, DC · On-site

This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the ...

PotomacWave Consulting

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the ...

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All JobsData Science Intern JobsData Science Intern Jobs in Springfield, VA

Data Science Intern information

See Springfield, VA salary details

$12

$23

$43

How much do data science intern jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data science intern in Springfield, VA is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.62 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Springfield, VA? The most popular types of Data Science jobs in Springfield, VA are:
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What cities near Springfield, VA are hiring for Data Science Intern jobs? Cities near Springfield, VA with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Springfield, VA as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $48,893 per year, or $23.5 per hour.
Data Scientist

Data Scientist

California Creative Solutions Inc.

Mclean, VA • On-site

Other

Posted 28 days ago

Job description

Job Summary:

The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.
Please Note:
This job requires an existing Top Secret Clearance and Polygraph.

Responsibilities and Duties:

  • The Team shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those priorities.
  • The Team shall take the Sponsor's mission needs and convert those into technical milestones consistent with the Sponsor's data science requirements.
  • The Team shall develop and manage data processing ETL pipelines.
  • The Team shall provide ad hoc trainings to Sponsor's data users on custom tools and data exploitation consist stent with established use cases.
  • The Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
  • The Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
  • The Team shall identify existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission.
  • The Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management.
  • The Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor's direction.

Experience Needed:

  • Citizenship: Must Be a US Citizen
  • Existing Clearance Required: Active Top Secret SCI with Poly
  • Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
  • Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
  • Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.
  • Demonstrated experience with a range of Python packages and graph databases.
  • Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.
  • Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.

Optional Skills:

  • Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.
  • Demonstrated experience leading complex data science teams.
  • Demonstrated experience with machine learning solutions.
  • Demonstrated experience working with foreign and domestic partners of the Sponsor.
  • Demonstrated experience writing custom algorithms for data exploitation.
  • Demonstrated experience with complex graph database queries.
  • Demonstrated experience working in high operational tempo environments.
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About California Creative Solutions

Sourced by ZipRecruiter

CCS Global Tech is a Certified Minority-Owned Business based in Poway, California. From our beginnings as a one-man operation in 1997, we’ve grown into an international organization of 700+ employees with offices in five countries and an extensive global reach. We specialize in innovative technology solutions, including business intelligence, analytics, data mining, migrations/integrations, cloud computing, cloud hosting, Microsoft Azure, and more.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Poway, CA, US

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