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Data Science Jobs in Virginia (NOW HIRING)

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · 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 ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

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

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

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

Peraton

Data Science Lead

Hampton, VA · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR ...

VTG

Data Scientist

Chantilly, VA · 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 ...

VTG

Data Scientist

Chantilly, VA

$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 ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · 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 ...

Peraton

Data Science Lead

Hampton, VA

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR ...

Peraton

Data Science Lead

Hampton, VA · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR ...

HII

DATA ENGINEER - DATA SCIENCE TEAM

Newport News, VA · Hybrid

$104K - $131K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27, 2026 Req ID: 47069 Team: T56 AI and Digital Innovation Entity: Newport News Shipbuilding US Citizenship ...

HII

DATA ENGINEER - DATA SCIENCE TEAM

Newport News, VA · Hybrid

$104K - $131K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27, 2026 Req ID: 47069 Team: T56 AI and Digital Innovation Entity: Newport News Shipbuilding US Citizenship ...

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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 8, 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.
Senior Manager, Data Science

Senior Manager, Data Science

CarMax, Inc.

Richmond, VA • On-site

Full-time

PTO

Re-posted 3 days ago

CarMax rating

8.0

Company rating: 8.0 out of 10

Based on 368 frontline employees who took The Breakroom Quiz

28th of 724 rated retailers

Job description

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220
CarMax, the way your career should be!
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 (Master'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.
The annual salary for this position is:
$138,500.00 - $221,600.00
May be eligible for bonus and equity.
Benefits:
Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.
Associates that are considered full-time hourly or commission/incentive eligible:
  • To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
  • For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.

Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.
For more details about benefits, please visit our CarMax Benefits website.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

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