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Data Science Associate Jobs in Virginia (NOW HIRING)

Carmax

Senior Manager, Data Science

Richmond, VA

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Deliver tools that enhance both the customer and associate experience * Build scalable data and ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

Mentor Associate and mid-level Data Scientists, providing guidance on modeling techniques, coding practices, and project execution. * Stay current on modern machine learning techniques, cloud-native ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

Mentor Associate and mid-level Data Scientists, providing guidance on modeling techniques, coding practices, and project execution. * Stay current on modern machine learning techniques, cloud-native ...

Carmax

Senior Manager, Data Science

Richmond, VA

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Deliver tools that enhance both the customer and associate experience * Build scalable data and ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

Mentor Associate and mid-level Data Scientists, providing guidance on modeling techniques, coding practices, and project execution. * Stay current on modern machine learning techniques, cloud-native ...

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

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Data Science Associate information

See Virginia salary details

$57K

$67.5K

$127.9K

How much do data science associate jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science associate in Virginia is $67,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $59,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
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 Associate jobs in Virginia? For Data Science Associate jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Virginia look for? The top searched job categories for Data Science Associate jobs in Virginia are:
What cities in Virginia are hiring for Data Science Associate jobs? Cities in Virginia with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Virginia as of June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 88% In-person, 8% Hybrid, and 4% Remote job distribution, with an average salary of $67,455 per year, or $32.4 per hour.
Senior Manager, Data Science

Senior Manager, Data Science

Carmax

Richmond, VA

Full-time

Posted 12 days ago

CarMax rating

8.0

Company rating: 8.0 out of 10

Based on 367 frontline employees who took The Breakroom Quiz

26th of 715 rated retailers

Job description

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

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

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