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Part Time Data Scientist Jobs in Virginia (NOW HIRING)

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Share Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Reston, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

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Showing results 1-20

Part Time Data Scientist information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do part time data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for part time data scientist 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 a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What does a part-time data scientist do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

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

The most popular types of Data Scientist jobs in Virginia are:

What are popular job titles related to Part Time Data Scientist jobs in Virginia?

For Part Time Data Scientist jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Part Time Data Scientist jobs?

Cities in Virginia with the most Part Time Data Scientist job openings:

Infographic showing various Part Time Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Science Associate (Part-Time)

Arlington, VA • On-site, Remote

American Institutes for Research
Scientific Research and Development Services • 1 - 5K employees

$67K - $68K/yr

Full-time, Part-time

Posted 4 days ago


Job description

AIR's Tek Office is seeking a part-time Data Science Associate to join its forward-thinking and innovative team of data scientists and software engineers. Our team works on innovative projects that advance our organization and partners with clients to deliver innovative data collection, communication, learning, user experience, and data-driven solutions across web, mobile, analytics, and data management platforms. Data scientists at AIR use a blend of technology skills and theory to contribute to cutting-edge research design, implementation, and capacity building.

Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs.

This remote position requires flexibility to work from AIR's Crystal City office. This part-time position is expected to run from September 2026 through May 2027.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The key responsibilities for the position include, but are not limited to

  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools. 
  • Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools. 
  • Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques. 
  • Assist with computer modeling and simple to moderately complex forecasting using standard software packages. 
  • Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision. 
  • Create replicable, well-documented code in a shared environment. 
  • Coordinate project support needs and requests from senior management and clients. 
  • Develop systems to maintain and verify the accuracy of data for assigned projects. 
  • Utilize external resources to supplement, organize, and contribute to tasks and projects. 
  • Present and occasionally support or organize content for internal and external meetings. 
  • Stay current on emerging technologies and provide recommendations for research applications. 
  • Review and optimize code written by others. 
  • Provide innovative and appropriate solutions to complex problems.
  • The scope of responsibilities may be modified as business needs evolve.

Qualifications:

Education, Knowledge, and Experience

  • Master's degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science) and enrolled in a PhD program.
  • Experience with cloud platforms including AWS, GCP, and Azure; hands-on exposure to Azure OpenAI API is preferred, but not required. 

Skills

  • Solution-oriented mindset with the ability to apply creative problem-solving techniques.
  • Strong communicator with the ability to engage effectively across all organizational levels and diverse backgrounds, including virtual environments, and to convey complex technical concepts clearly and accurately in plain language. 
  • Collaborative team player, able to work effectively in cross-functional teams and contribute to shared goals in a virtual environment. 
  • Flexible and adaptable, comfortable working in dynamic environments and adjusting to changing priorities. 
  • Proficient with database technologies such as MySQL and MS SQL Server. 
  • Familiarity with generative AI tools and applications for practical use cases. 
  • Knowledge of Python web frameworks (e.g., Django, Flask) is advantageous. 
  • Interest in exploring and developing innovative tools for data-driven applications. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer:

AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams at ftc.gov/scams.