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Behavioral Data Science Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Herndon, VA ยท On-site +1

$160K - $190K/yr

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

Senior Data Scientist

Herndon, VA ยท On-site +1

$160K - $190K/yr

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

Senior Data Scientist

Mclean, VA ยท On-site

$120K - $180K/yr

... behavior, and incorporate human-centered design principles into analytical workflows. * Lead ... Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

Showing results 41-60

Behavioral Data Science information

See Virginia salary details

$23.3K

$104.4K

$194.5K

How much do behavioral data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for behavioral data science in Virginia is $104,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,810.00 and $141,989.00 per year, depending on experience, location, and employer.

What can I do with a behavioral data science degree?

A behavioral data science degree prepares individuals for roles such as data analyst, behavioral scientist, or user experience researcher, focusing on analyzing human behavior through data. Graduates often work with statistical tools, programming languages like Python or R, and data visualization software to inform decision-making in marketing, product development, or healthcare. These roles typically require strong analytical skills and understanding of psychological or social science principles.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.

What is behavioral data science?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do behavioral data scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

Is behavioral data science in high demand?

Behavioral data science is in high demand as organizations seek to understand human behavior through data analysis, machine learning, and statistical modeling. Professionals with skills in programming, data visualization, and behavioral psychology are especially sought after across industries such as marketing, healthcare, and finance.

What are the key skills and qualifications needed to thrive in behavioral data science, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

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 Behavioral Data Science jobs? Cities in Virginia with the most Behavioral Data Science job openings:
Infographic showing various Behavioral Data Science job openings in Virginia as of August 2026, with employment types broken down into 5% As Needed, 70% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $104,426 per year, or $50.2 per hour.

Data Engineer / Data Scientist with Security Clearance

Indigo Industries, LLC

Arlington, VA โ€ข On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Description:
โ€ข Position Title: Data Engineer / Data Scientist (Ontology and Data Science Engineer)
โ€ข Clearance Level: Top Secret / SCI (TS/SCI) โ€ข Location: Arlington, VA
โ€ข Reporting To: Lead for Digital Environments, APEX
โ€ข 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:
โ€ข 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.
โ€ข 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.
โ€ข System Modeling: Utilize SysML to support MBSE efforts, mapping system architectures and behaviors to underlying data structures and ontologies.
โ€ข Data Translation: Act as a bridge between systems engineers and data architects, translating mission requirements into logical data models and quantitative assessments.
โ€ข 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:
โ€ข Professional Experience: Mid-level professional (5-8+ years) with data science, systems engineering, or ontology development experience.
โ€ข DoD Domain Context: Prior experience supporting DoD/DoW mission sets, processes, or data environments is a strong plus, though not a strict requirement.
โ€ข Data Science & Modeling Proficiency: Strong proficiency in Statistical Software, data science programming (e.g., Python, Pandas, Scikit-learn, R), and SysML for MBSE efforts.
โ€ข 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: โ€ข Education: Bachelorโ€™s or Master's degree in Data Science, Systems Engineering, Computer Science, Mathematics, or a related technical field.
โ€ข 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 โ€” and we back that up with benefits that support your life outside of it: -Paid time off โ€” all federal holidays plus three weeks of accrued paid vacation.
-Employer-paid health insurance โ€” 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 โ€” SIMPLE IRA with up to 3% employer matching after a 30-day waiting period.