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Volunteer Data Science Jobs in Virginia (NOW HIRING)

US Department of Commerce

Data Scientist

Alexandria, VA · On-site

$143K/yr

Experience using data science best practices and advising executive leadership on data-driven strategic decisions. Experience refers to paid and unpaid experience, including volunteer work done ...

US Department of the Air Force

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done ...

System One

Mid-Level Data Scientist

Merrifield, VA · On-site

Requirements • 3-7 years of experience (mid-level) in data science, statistics, and data ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

New

Avalore, LLC

Data Scientist

Arlington, VA · On-site

$89K - $202K/yr

This person will stay current with advances in data science techniques, evaluate new algorithms and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Socket.dev

Data Scientist

Arlington, VA · On-site

$89 - $202/hr

This person will stay current with advances in data science techniques, evaluate new algorithms and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

Posted today

Avalore, LLC

Data Scientist

Arlington, VA · On-site

$89K - $202K/yr

This person will stay current with advances in data science techniques, evaluate new algorithms and ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

System One

Lead Data Scientist

Reston, VA · On-site

Utilize advanced analytical capabilities to support and drive data science initiatives across teams ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

New

Guidehouse

GRC Data Scientist

Arlington, VA · Hybrid

$98K - $163K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

New

Guidehouse

GRC Data Scientist

Mclean, VA · Hybrid

$98K - $163K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

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All JobsVolunteer Data Science JobsVolunteer Data Science Jobs in Virginia

Volunteer Data Science information

See Virginia salary details

$16K

$91.3K

$192.6K

How much do volunteer data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for volunteer data science in Virginia is $91,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,038.00 and $141,503.00 per year, depending on experience, location, and employer.

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

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

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For Volunteer Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Volunteer Data Science jobs in Virginia look for?

The top searched job categories for Volunteer Data Science jobs in Virginia are:

What cities in Virginia are hiring for Volunteer Data Science jobs?

Cities in Virginia with the most Volunteer Data Science job openings:

Volunteer Data Science jobs near you
Infographic showing various Volunteer 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 $91,347 per year, or $43.9 per hour.

Data Scientist

US Department of Commerce

Alexandria, VA • On-site

$143K/yr

Full-time

Re-posted 18 days ago

Key responsibilities

  • Design and implement data science frameworks, standards, and governance policies across multiple organizational units.

  • Advise executive leadership on data-driven strategic decisions based on data science best practices.

  • Lead enterprise-wide data science initiatives and strategic data analysis programs.

U.S. Department Of Commerce rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

126th of 855 rated public administrative organizations

Job description

This position is located in the U.S. Patent and Trademark Office, Office of the Chief Financial Officer, Office of Finance (OF). The primary mission of the USPTO is to build for the future and promote U.S. competitiveness in the global marketplace by protecting and strengthening intellectual property rights world-wide. The OCFO oversees USPTO's financial management, advising the Under Secretary and Director on planning, budgetary, financial, and procurement matters.
Qualifications:You must meet the United States Office of Personnel Management's (OPM) qualification requirements (including specialized experience and/or educational requirements) for the advertised position. You must meet all eligibility and qualifications requirements by the closing date of the job announcement. OPM Qualifications Standards are available at Data Scientist Series 1560.
Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
Or
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience
Specialized Experienceis experience that has equipped applicants with the particular knowledge, skills and abilities to successfully perform the duties of the position, and that is typically in or related to the position to be filled. To be creditable, specialized experience must have been equivalent to at least the next lower grade level in the federal service. For this position, the next lower grade level is a GS-13.
Specialized experience for this position includes:
  • Experience directing enterprise-wide data science initiatives and strategic data analysis programs;
  • Experience designing and implementing data science frameworks, standards, and governance policies across multiple organizational units; and
  • Experience using data science best practices and advising executive leadership on data-driven strategic decisions.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:

Education may not be substituted for experience at this grade level. If this position requires proof of higher education, or you are substituting education for experience, you must submit an unofficial transcript or a list of courses that includes the following information: name of accredited institution, grades earned, completion dates, and quarter and semester hours earned. Education completed in foreign colleges or universities may be used to meet the requirements. Please refer to General Schedule Qualification Policies for more information. You are not required to submit official documents at this time; copies are sufficient.
Special Instructions for Foreign Education: Qualifying education from colleges and universities in foreign countries must be evaluated in terms of equivalency to that acquired in U.S. colleges and universities. Applicants educated in whole or in part in foreign countries must submit sufficient evidence, including transcripts, to an accredited private organization for an equivalency evaluation of course work and degree. A listing of these accredited organizations can be found on the Department of Education's website - US Department of Education. Another listing of services that can perform this evaluation is available at the National Association of Credential Evaluation Services (NACES) website. You must provide a copy of the letter containing the results of the equivalency evaluation with a course by course listing along with your application. Failure to provide such documentation when requested will result in lost consideration.
NOTE: Only education and experience acquired before the filing deadline will be considered. Report only attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Basic Requirements: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. Or B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience

Employment Type: OTHER

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