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Behavioral Data Science Jobs in Silver Spring, MD

GRVTY

Data Science - Senior

Springfield, VA · On-site

The Data Scientist will coordinate with our clients to understand questions and issues involving ... behavioral likelihoods that may not be apparent using traditional single discipline means

GRVTY

Data Science - Senior

Springfield, VA · On-site

The Data Scientist will coordinate with our clients to understand questions and issues involving ... behavioral likelihoods that may not be apparent using traditional single discipline means

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior ...

SOSi

Data Scientist III

Washington, DC

This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior ...

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior ...

NT Concepts

Data Scientist

Chantilly, 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.

NT Concepts

Data Scientist

Chantilly, VA · On-site

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

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Behavioral Data Science information

See Silver Spring, MD salary details

$24.5K

$109.8K

$204.5K

How much do behavioral data science jobs pay per year?

As of Jun 6, 2026, the average yearly pay for behavioral data science in Silver Spring, MD is $109,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,894.00 and $149,311.00 per year, depending on experience, location, and employer.

What is a Behavioral Data Science job?

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.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, 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 Silver Spring, MD? The most popular types of Behavioral Data Science jobs in Silver Spring, MD are:
What are popular job titles related to Behavioral Data Science jobs in Silver Spring, MD? For Behavioral Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in Silver Spring, MD look for? The top searched job categories for Behavioral Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Behavioral Data Science jobs? Cities near Silver Spring, MD with the most Behavioral Data Science job openings:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Silver Spring, MD as of May 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $109,811 per year, or $52.8 per hour.

Data Science - Senior

GRVTY

Springfield, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

***Requires an active TS/SCI Security Clearance****

What Impact You'll Have: 

We are looking for a Senior Data Scientist,with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You'll Be Owning:

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

What You Must Have: 

  • Active TS/SCI Clearance with ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Experience supporting IC operations
  • Possess expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means
  • Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations
  • Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format

What Would Be Nice to Have:

  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

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