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Full Time Data Science Jobs in Virginia (NOW HIRING)

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 ...

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 ...

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

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 ...

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI ... UNAVAILABLEEmployment Type: FULL_TIME

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... You will contribute across the full data science lifecycle, from problem formulation and data ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... You will contribute across the full data science lifecycle, from problem formulation and data ...

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

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Showing results 1-20

Full Time Data Science information

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.

Which is better, DS or CS?

Data Science (DS) and Computer Science (CS) are distinct fields; DS focuses on analyzing data to inform decisions using tools like Python and machine learning, while CS emphasizes programming, algorithms, and software development. The choice depends on your interests and career goals, with DS often requiring knowledge of statistics and data visualization, and CS emphasizing coding and system design.

Is 40 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is less a barrier than relevant skills and continuous learning.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

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 Full Time Data Science jobs? Cities in Virginia with the most Full Time Data Science job openings:
Infographic showing various Full Time Data Science job openings in Virginia as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Senior Manager, Data Science

Senior Manager, Data Science

CarMax, Inc.

Richmond, VA • On-site

Full-time

PTO

Posted 23 days ago


Key responsibilities

  • Lead the development and enhancement of predictive Customer Progression models and apply advanced data science techniques across the full model lifecycle.

  • Partner with cross-functional teams to identify and develop new use cases for data-driven products and deliver tools that enhance customer and associate experience.

  • Lead, mentor, and develop a high-performing team of data scientists while promoting best practices and managing multiple projects.


CarMax rating

8.0

Company rating: 8.0 out of 10

Based on 368 frontline employees who took The Breakroom Quiz

27th of 719 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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