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Data Science Jobs in Virginia (NOW HIRING)

Carmax

Data Science Manager, Personalization

Richmond, VA · On-site

$120K - $192K/yr

About The Team The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment. * Design and implement predictive models, NLP solutions ...

VTG

Data Scientist

Mclean, VA · On-site

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

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 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

As a part of the Data Science team you'll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly ...

WSP

Intermediate Professional, Data Science

Herndon, VA · On-site

Perform basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the task or project. * Assist with the development of technologies ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

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 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

As a part of the Data Science team you'll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly ...

VTG

Data Scientist

Herndon, VA · On-site

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 ...

VTG

Data Scientist

Mclean, VA · On-site

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 ...

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All JobsData Science JobsData Science Jobs in Virginia

Data Science information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Data Science jobs in Virginia? For Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Virginia look for? The top searched job categories for Data Science jobs in Virginia are:
What cities in Virginia are hiring for Data Science jobs? Cities in Virginia with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.
Data Scientist

Data Scientist

California Creative Solutions Inc.

Mclean, VA • On-site

Other

Posted 18 days ago

Job description

Job Summary:

The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.
Please Note:
This job requires an existing Top Secret Clearance and Polygraph.

Responsibilities and Duties:

  • The Team shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those priorities.
  • The Team shall take the Sponsor's mission needs and convert those into technical milestones consistent with the Sponsor's data science requirements.
  • The Team shall develop and manage data processing ETL pipelines.
  • The Team shall provide ad hoc trainings to Sponsor's data users on custom tools and data exploitation consist stent with established use cases.
  • The Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
  • The Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
  • The Team shall identify existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission.
  • The Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management.
  • The Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor's direction.

Experience Needed:

  • Citizenship: Must Be a US Citizen
  • Existing Clearance Required: Active Top Secret SCI with Poly
  • Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
  • Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
  • Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.
  • Demonstrated experience with a range of Python packages and graph databases.
  • Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.
  • Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.

Optional Skills:

  • Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.
  • Demonstrated experience leading complex data science teams.
  • Demonstrated experience with machine learning solutions.
  • Demonstrated experience working with foreign and domestic partners of the Sponsor.
  • Demonstrated experience writing custom algorithms for data exploitation.
  • Demonstrated experience with complex graph database queries.
  • Demonstrated experience working in high operational tempo environments.
California Creative Solutions logo

About California Creative Solutions

Sourced by ZipRecruiter

CCS Global Tech is a Certified Minority-Owned Business based in Poway, California. From our beginnings as a one-man operation in 1997, we’ve grown into an international organization of 700+ employees with offices in five countries and an extensive global reach. We specialize in innovative technology solutions, including business intelligence, analytics, data mining, migrations/integrations, cloud computing, cloud hosting, Microsoft Azure, and more.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Poway, CA, US

View All California Creative Solutions Jobs