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Internship Behavioral Data Science Jobs in Reston, VA

Generate representative data sets for systems development and data science initiatives. * Build ... Create quantitative and qualitative data analytics and models to represent human behavior.

Apply advanced knowledge in data science, engineering, psychology, or related technical disciplines ... Collaborate with cross-functional teams-including software engineers, data analysts, behavioral ...

Data Scientist

Bethesda, MD ยท On-site +1

Contribute to best practices in data science, modeling, and responsible AI use across the ... model behavior to non-technical stakeholders * Familiarity with cloud-based ML infrastructure ...

Contribute to best practices in data science, modeling, and responsible AI use across the ... model behavior to non-technical stakeholders * Familiarity with cloud-based ML infrastructure ...

They are seeking Subject Matter Experts (SMEs) in data science across multiple levels to support ... behavioral scientists, and domain experts--to integrate data science solutions into operational ...

Ifso, you will bedelivering advanced data science capabilities to push forward national ... behavior and more. * Support multiple simultaneous projects and take open-ended or high-level ...

If so, you will be delivering advanced data science capabilities to push forward national security ... behavior and more. * Support multiple simultaneous projects and take open-ended or high-level ...

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Internship Behavioral Data Science information

See Reston, VA salary details

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$23

$43

How much do internship behavioral data science jobs pay per hour?

As of May 30, 2026, the average hourly pay for internship behavioral data science in Reston, VA is $23.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Behavioral Data Science, and why are they important?

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 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 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 Reston, VA? The most popular types of Behavioral Data Science jobs in Reston, VA are:
What are popular job titles related to Internship Behavioral Data Science jobs in Reston, VA? For Internship Behavioral Data Science jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Internship Behavioral Data Science jobs in Reston, VA look for? The top searched job categories for Internship Behavioral Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Internship Behavioral Data Science jobs? Cities near Reston, VA with the most Internship Behavioral Data Science job openings:
Infographic showing various Internship Behavioral Data Science job openings in Reston, VA as of May 2026, with employment types broken down into 20% As Needed, 40% Full Time, and 40% Part Time. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $48,698 per year, or $23.4 per hour.
Data Scientist

Data Scientist

NT Concepts

Chantilly, VA โ€ข On-site

Full-time

Posted 26 days ago


Job description

NTC OVERVIEW: We are seeking a Data Scientist to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will have the unique opportunity to solve hard problems and help turn complex concepts into reality to advance and enhance systems supporting the defense of our nation. You will be part of a solutions-oriented, Agile/Scrum team designing and developing custom applications and components to support innovative data science capabilities.
Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow SAFe practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve.
If cutting edge development projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect.
Clearance: Active TS/SCI Poly clearance.
Location/Flexibility: Chantilly, VA - 100% Onsite
Position Description:
  • Perform research and development on advanced artificial intelligence and machine learning techniques for customers.
  • Communicate results of AI/ML research to non-technical audiences, translating complex findings into actionable insights.
  • Write efficient, distributed, and parallelized Python code to support AI/ML initiatives.
  • Organize and manage tasks using agile methodologies and tools such as JIRA and Confluence.
  • Liaison with mission partners to represent customer workflows and establish interorganizational relationships.
  • Assess, transform, organize, and optimize data for use by machine learning algorithms.
  • Generate representative data sets for systems development and data science initiatives.
  • Build data pipelines that enable data scientists, engineers, and other stakeholders.
  • Implement source code and code provided by the data science team.
  • Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
  • Develop data-driven solutions to difficult mission challenges.
  • Develop scripts and software programs to address requirements using programming languages, tools, and computational methods.
  • Develop and/or consult on advanced methodological approaches, statistical and algorithmic analysis, and/or tailored software application support.
  • Create quantitative and qualitative data analytics and models to represent human behavior.
  • Identify patterns in data and translate findings into actionable intelligence.
  • Cooperate with software professionals in integrating analytical logic into a general software framework.
  • Train and fine-tune foundation models to address real intelligence questions and advance the Intelligence Community.
  • Write compelling documentation and reports for decision makers.

Basic Qualifications:
  • Bachelor's degree in a technical field (Computer Science, Mathematics, Statistics, or related discipline).
  • 4+ years of Data Science experience, including designing and implementing data curation techniques, especially for imagery data.
  • Proficiency in Python and/or R, with experience using relevant programming languages and technologies.
  • Familiarity with an array of data science tools and languages including Python, R, SQL, and others as needed.
  • Experience with Machine Learning, Computer Vision, and Object Detection.
  • Experience building and maintaining ETL pipelines, including Kubeflow pipelines.
  • Hands-on experience with imagery data, overhead imagery (optical or Synthetic Aperture Radar (SAR)), and synthetic data.
  • Strong understanding of large-scale distributed processing and parallel computing.
  • Familiarity with machine and deep learning libraries such as Scikit-learn, TensorFlow, and PyTorch.
  • Experience organizing and managing tasks in an agile environment (JIRA/Confluence).
  • Ability to build and maintain strong relationships with mission partners and stakeholders.
  • Proficient with Git version control systems and comfortable working in Linux OS environments.
  • Prior experience with PyTorch, Keras, and overhead imagery would be beneficial but is not required.

Physical Requirements:
  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 10-15 pounds at times.

#JT
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission-solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients' most critical challenges. Here, you'll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we'd love to have you move forward with us.