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Data Science Jobs in Reston, VA (NOW HIRING)

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the ...

Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science ...

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the ...

Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science ...

Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science ...

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

Booz Allen Hamilton is a company focused on leveraging data science to solve global challenges. As a Data Scientist, you will unlock insights from complex data sets and guide clients in making ...

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

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Showing results 1-20

Data Science information

See Reston, VA salary details

$39.1K

$127.9K

$204.8K

How much do data science jobs pay per year?

As of May 28, 2026, the average yearly pay for data science in Reston, VA is $127,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $141,700.00 per year, depending on experience, location, and employer.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What are the most commonly searched types of Data Science jobs in Reston, VA? The most popular types of Data Science jobs in Reston, VA are:
What are popular job titles related to Data Science jobs in Reston, VA? For Data Science jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Science jobs? Cities near Reston, VA with the most Data Science job openings:
Infographic showing various Data Science job openings in Reston, VA as of May 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $127,927 per year, or $61.5 per hour.
Data Scientist

Full-time

Posted 4 days ago


Job description

Overview

VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA.


What will you do?
  • Collect, clean, and analyze large, complex datasets from multiple sources.

  • Develop and implement statistical models, predictive analytics, and machine learning algorithms.

  • Design experiments and evaluate models to ensure accuracy, reliability, and scalability.

  • Translate data-driven findings into clear business insights and recommendations.

  • Collaborate with cross-functional teams (engineering, product, business stakeholders) to identify opportunities for data solutions.

  • Create dashboards, reports, and data visualizations to effectively communicate results.

  • Stay up to date on industry trends, tools, and best practices in data science and AI/ML.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning
  • Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab
  • Demonstrated experience with producing analytic insights from large scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning
  • Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab
  • Demonstrated experience with producing analytic insights from large scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Education:UNAVAILABLEEmployment Type: FULL_TIME