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Internship Behavioral Data Science Jobs in Virginia

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... We leverage our proprietary Apollo ® technology platform to predict consumer behavior, personalize ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... We leverage our proprietary Apollo ® technology platform to predict consumer behavior, personalize ...

Data Scientist

Springfield, VA · On-site

$85 - $115/hr

... Science, Software Engineering, Statistics, Mathematics, Physics, or bachelor's degree with 30 ... Experience with behavioral analytics. * Experience with Oracle Apex. * Experience with ...

Data Scientist, Mid

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience in data science in a professional work environment * Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

Mid Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience in data science in a professional work environment * Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience in data science in a professional work environment * Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

Data Scientist, Mid

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience in data science in a professional work environment * Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

Data Scientist, Mid

Springfield, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... behavior characterization. * Support multi-INT data fusion, including GEOINT, SIGINT, MTI, ISR, or ... You Have: * Experience in data science, applied analytics, or ML * Experience working with ...

Cleared Data Scientist (Multiple Levels)

Chantilly, VA · On-site

$146K - $228K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... behavior analysis, and automated decision-making. The ideal candidate will have experience analyzing cyber data and applying data science techniques to solve customer problems, using technologies ...

Cleared Data Scientist (Multiple Levels)

Chantilly, VA · On-site

$146K - $228K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... behavior analysis, and automated decision-making. The ideal candidate will have experience analyzing cyber data and applying data science techniques to solve customer problems, using technologies ...

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

Showing results 41-60

Internship Behavioral Data Science information

What is an internship in behavioral data science?

An Internship in Behavioral Data Science is a temporary, practical training position where students or recent graduates gain hands-on experience analyzing human behavior using data science techniques. Interns typically work with large datasets to identify patterns, design experiments, and apply statistical or machine learning methods to understand how people make decisions. This role often involves collaborating with multidisciplinary teams to translate findings into actionable insights for businesses, healthcare, public policy, or technology. The internship provides valuable exposure to real-world projects and can be a stepping stone to a full-time career in behavioral data science.

What are the key skills and qualifications needed to thrive as an intern in behavioral data science?

To thrive as an Internship Behavioral Data Science, you need a solid background in statistics, data analysis, and behavioral science concepts, often supported by coursework in psychology, data science, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and experience using data visualization platforms like Tableau or Power BI are typically required. Strong analytical thinking, curiosity, and effective communication skills make candidates stand out in this position. These skills and qualities are crucial for translating complex behavioral data into actionable insights that inform business or research decisions.

What types of projects do interns typically work on in a behavioral data science internship?

Interns in Behavioral Data Science often contribute to projects involving the analysis of user behavior data, designing and running experiments (such as A/B tests), and assisting with data visualization to communicate findings. You may collaborate closely with data scientists, UX researchers, and product managers to interpret behavioral patterns and help inform business or product decisions. This hands-on experience provides a strong foundation in both technical analytics and understanding the psychological factors that drive user actions.

What is the difference between Internship Behavioral Data Science vs Behavioral Data Scientist?

AspectInternship Behavioral Data ScienceBehavioral Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree programs (e.g., Data Science, Psychology, Statistics)Bachelor's or Master's in Data Science, Psychology, Statistics, or related fields; often requires experience or advanced degrees
Work EnvironmentInternship setting, often in tech or research companies, with mentorship and trainingFull-time role in tech, finance, or healthcare industries, with independent project responsibilities
Employer & Industry UsageUsed by companies to evaluate potential talent and provide training opportunitiesEmployed to analyze behavioral data, develop models, and inform business decisions

In summary, Internship Behavioral Data Science positions are entry-level, focused on learning and skill development, while Behavioral Data Scientists are experienced professionals responsible for analyzing behavioral data and creating models to support organizational goals.

What are the most commonly searched types of Behavioral Data Science jobs in Virginia?

The most popular types of Behavioral Data Science jobs in Virginia are:

What cities in Virginia are hiring for Internship Behavioral Data Science jobs?

Cities in Virginia with the most Internship Behavioral Data Science job openings:

Infographic showing various Internship Behavioral Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer / Data Scientist with Security Clearance

Indigo Industries, LLC

Arlington, VA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Description:
• Position Title: Data Engineer / Data Scientist (Ontology and Data Science Engineer)
• Clearance Level: Secret
• Location: Arlington, VA, open to Hybrid/remote
• Reporting To: Lead for Digital Environments, APEX
• Travel: ~25% Role Overview:
The incumbent will play a critical role in structuring complex mission data and developing robust analytical models to support the assessment of Department of War (DoW) systems and capabilities. The primary focus of this role is supporting ontology development and ensuring seamless integration with Mission Engineering (ME) ontologies within the MEIA JCDE environment. The ideal candidate blends expertise in Model-Based Systems Engineering (MBSE), semantic data structuring, and statistical analysis to drive data-informed capability assessments. Responsibilities:
• Ontology Development & Integration: Design, develop, and maintain ontologies to structure complex data, ensuring alignment and integration with overarching Mission Engineering ontologies within the MEIA JCDE environment.
• Analytical Modeling: Develop, test, and support advanced analytical and statistical models to assess the performance, gaps, and effectiveness of current and proposed systems and capabilities.
• System Modeling: Utilize SysML to support MBSE efforts, mapping system architectures and behaviors to underlying data structures and ontologies.
• Data Translation: Act as a bridge between systems engineers and data architects, translating mission requirements into logical data models and quantitative assessments.
• Reporting & Visualization: Synthesize complex data science outputs and semantic queries into clear, actionable insights for mission stakeholders and decision-makers.Technical Liaison: Support the APEX by translating mission requirements into technical specifications for enterprise IT partners. Experience Requirements
Professional Experience:
• Professional Experience: Mid-level professional (5-8+ years) with data science, systems engineering, or ontology development experience.
• DoD Domain Context: Prior experience supporting DoD/DoW mission sets, processes, or data environments is a strong plus, though not a strict requirement.
• Data Science & Modeling Proficiency: Strong proficiency in Statistical Software, data science programming (e.g., Python, Pandas, Scikit-learn, R), and SysML for MBSE efforts.
• Semantic Web Expertise: Applied experience with semantic web technologies and ontology languages (e.g., OWL, RDF, SPARQL). Familiarity with graph databases (e.g., Neo4j, ArangoDB) and MBSE software (e.g., Cameo Systems Modeler) is highly desirable. Education & Certifications: • Education: Bachelor’s or Master's degree in Data Science, Systems Engineering, Computer Science, Mathematics, or a related technical field.
• Certifications: Relevant certifications in Data Science, MBSE (e.g., OCSMP), or Cloud infrastructure are preferred. Why work for Indigo?
At Indigo Industries, you'll do hands-on technical work on a mission that matters — and we back that up with benefits that support your life outside of it: -Paid time off — all federal holidays plus three weeks of accrued paid vacation.
-Employer-paid health insurance — Indigo currently covers the individual health insurance premium for eligible employees after a 30-day waiting period. Full plan details, including health coverage and available dental and vision options, are provided at hire.
-Retirement savings — SIMPLE IRA with up to 3% employer matching after a 30-day waiting period.