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Data Science Jobs in Virginia (NOW HIRING)

Data Science Analyst

Springfield, VA ยท On-site

$132K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to the ...

Data Science SME Mid

Fort Belvoir, VA ยท On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

Senior Manager, Data Science

Richmond, VA ยท On-site

$138K - $221K/yr

  • PTO

Apply advanced data science techniques across the full model lifecycle: * Design, training, evaluation, validation, deployment, and monitoring * Analyze large-scale, complex datasets (customer ...

Apply advanced data science techniques across the full model lifecycle: * Design, training, evaluation, validation, deployment, and monitoring * Analyze large-scale, complex datasets (customer ...

Manager of Data Science

Arlington, VA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

Apply advanced data science techniques across the full model lifecycle: * Design, training, evaluation, validation, deployment, and monitoring * Analyze large-scale, complex datasets (customer ...

Data Science Engineer, Lead

Mclean, VA ยท On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Science Engineer, Lead As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven ...

Data Science SME Senior

Fort Belvoir, VA ยท On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

Data Scientist

Chantilly, VA ยท On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

Data Scientist

Chantilly, VA ยท On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

Showing results 41-60

Data Science information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do data science jobs pay per year?

As of Aug 19, 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.

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 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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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 are the most commonly searched types of Data Science jobs in Virginia?

The most popular types of 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:

Infographic showing various Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Senior Manager, Data Science

CarMax Business Services

Richmond, VA โ€ข On-site

$100 - $130/hr

Other

Posted yesterday

New


Job description

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

Technical Leadership & Execution
  • Lead the development and enhancement of predictive Customer Progression models
  • Apply advanced data science techniques across the full model lifecycle:
    • Design, training, evaluation, validation, deployment, and monitoring
  • Analyze large-scale, complex datasets (customer, transactional, digital, and third-party data) to generate actionable insights
  • Build deep understanding of CarMax data ecosystems, including data access, processing, and monitoring
  • Design and support controlled experiments (A/B testing) to evaluate new solutions
Cross-Functional Collaboration
  • Partner with Product, Operations, Strategy, and Data Engineering teams to:
    • Identify and develop new use cases for data-driven products
    • Deliver tools that enhance both the customer and associate experience
    • Build scalable data and modeling infrastructure
  • Communicate insights, model outcomes, and opportunities clearly to stakeholders at all levels of the organization
  • Influence business strategy through data-driven recommendations
Team Leadership & Development
  • Lead, mentor, and develop a high-performing team of data scientists
  • Promote best practices in analytics, modeling, and experimentation
  • Manage and prioritize multiple projects in a fast-paced environment
  • Foster both technical and professional growth within the team
Qualifications Required
  • Advanced degree (Masterโ€™s or Ph.D.) in a quantitative field such as:
    • Statistics, Mathematics, Data Science, Computer Science, or Engineering
  • 4+ years of experience in:
    • Python or similar languages for large-scale data analysis
    • Machine learning, statistical modeling, and data mining techniques
    • Working with data lakes, cloud platforms, and relational databases (SQL)
  • Strong analytical mindset with a proven track record of delivering insights and strategic impact
  • Excellent communication skills with the ability to explain complex concepts to both technical and non-technical audiences
  • Demonstrated project management skills and ability to manage competing priorities
  • Experience mentoring or developing team members
Preferred
  • Hands-on experience developing and deploying NLP (Natural Language Processing) solutions, including:
    • Information retrieval and extraction
    • Sentiment analysis
    • Topic modeling
    • Classification and deep learning techniques

Work Location and Arrangement

This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 4 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application

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