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Internship Behavioral Data Science Jobs in Reston, VA

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Data Scientist - TS/SCI

Bethesda, MD · On-site

$140K - $160K/yr

... behavior and more. * Support multiple simultaneous projects and take open-ended or high-level ... Experience in data science, analytics or quantitative intelligence analysis, and demonstrating ...

... behavior and more. * Support multiple simultaneous projects and take open-ended or high-level ... Experience in data science, analytics or quantitative intelligence analysis, and demonstrating ...

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ... Bachelor's degree in computer science, data science/statistics, information systems, engineering ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

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 - $220K/yr

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

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Internship Behavioral Data Science information

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

As of Jul 14, 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 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 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 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 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:
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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:
Data Scientist - TS/SCI

Data Scientist - TS/SCI

Xcelerate Solutions

Bethesda, MD • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

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Job description

Data Scientist – TS/SCI

Xcelerate Solutions is currently seeking a Data Scientist. The Data Scientist will support ongoing and future programs to advance the state of the art in research and advanced machine learning, natural language processing, and data fusion applications in the areas of mission-focused big data analytics. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.

Location: 

Bethesda, MD  

Security Clearance: 

TS/SCI

 

Responsibilities:

  • Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. 
  • Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.  
  • Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.
  • Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
  • Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement 

Minimum Requirement:

  • B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.
  • Active TS and ability to obtain a TS/SCI with Polygraph.
  • Experience in data science, analytics or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes
  • Proficiency in one or more scripting languages such as Python
  • Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
  • Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL)
  • Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
  • Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won’t fit in memory.
  • Track record of active learning and creative problem solving
  • Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.
  • Familiarity using git or other version control technologies
  • Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision

Preferred Qualification:

  • A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
  • Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics
  • Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.
  • Experience developing predictive algorithms, image classifiers, object detectors, and others.
  • Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
  • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.
  • Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)
  • Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.

About Xcelerate Solutions: 

Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is  one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers! 
  

Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability. 


  Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.  

Company Description

Xcelerate is a leading defense and national security company, delivering integrated solutions across five service areas—Enterprise Vetting & Analysis, Critical Infrastructure Protection, Digital Solutions, Cyber Security, and Strategic Consulting. We are a trusted partner to the Department of Defense, Department of Homeland Security, numerous law enforcement and civilian agencies, and the Intelligence Community. Our customers are directly responsible for the security and safety of the United States.