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Volunteer Political Data Science Jobs (NOW HIRING)

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... Holidays and generous paid time off, including to vote and volunteer * Paid parental, military ...

2040 Strategy Group

Be Seen First

Data Scientist / Applied Social Science Researcher

Evanston, IL · Remote

$75 - $100/hr

... data science, research design, and translational research. Reporting to and partnering directly ... political candidates, organizational climate surveys, and more. Survey analysis is our most ...

Posted today

2040 Strategy Group

Be Seen First

Data Scientist / Applied Social Science Researcher

Evanston, IL · Remote

$75 - $100/hr

... data science, research design, and translational research. Reporting to and partnering directly ... political candidates, organizational climate surveys, and more. Survey analysis is our most ...

Posted today

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Volunteer Political Data Science information

What is a volunteer political data scientist?

Volunteer Political Data Scientists are individuals who use data analysis, statistics, and programming skills to support political campaigns, advocacy groups, or non-profit organizations on a voluntary basis. They help gather, clean, and interpret political data to inform strategies, improve outreach, and measure campaign effectiveness. Their work may include analyzing voter data, creating visualizations, building predictive models, or advising on data-driven decision making. These roles are typically unpaid, but they offer valuable experience and the chance to make a positive impact on causes or elections.

How do volunteer political data scientists typically collaborate with campaign teams to drive data-driven decision making?

Volunteer Political Data Scientists often work closely with campaign managers, field organizers, and communications teams to translate raw data into actionable insights. They may assist in developing voter targeting models, analyzing survey results, or visualizing demographic trends to inform outreach strategies. Regular communication is essential, as data scientists must explain technical findings in accessible terms and adapt analyses based on the evolving needs of the campaign. This collaborative environment provides opportunities to learn from diverse team members and contribute meaningfully to the campaign's success.

What are the key skills and qualifications needed to thrive as a volunteer political data scientist, and why are they important?

To thrive as a Volunteer Political Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data analysis, typically supported by a background in data science or related fields. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience with political datasets, is commonly required. Excellent communication, teamwork, and adaptability are crucial soft skills for translating complex data into actionable insights and collaborating with campaign teams. These skills enable accurate, data-driven decision-making that can significantly impact political strategies and outcomes.

What is the difference between Volunteer Political Data Science vs Volunteer Data Analyst?

AspectVolunteer Political Data ScienceVolunteer Data Analyst
Required SkillsData analysis, political science knowledge, statistical toolsData analysis, Excel, basic statistical skills
Work EnvironmentPolitical campaigns, advocacy groups, non-profitsVarious industries including business, healthcare, government
CertificationsStatistical or data analysis certifications, political science backgroundBasic data analysis certifications, no specific political background needed

Volunteer Political Data Science focuses on applying data analysis within political contexts, requiring knowledge of political issues and advanced statistical skills. Volunteer Data Analysts work across diverse sectors with general data skills. While both roles involve data analysis, Volunteer Political Data Science emphasizes political applications, making it more specialized for those interested in politics and campaigns.

More about Volunteer Political Data Science jobs
What cities are hiring for Volunteer Political Data Science jobs? Cities with the most Volunteer Political Data Science job openings:
What are the most commonly searched types of Political Data Science jobs? The most popular types of Political Data Science jobs are:
What states have the most Volunteer Political Data Science jobs? States with the most job openings for Volunteer Political Data Science jobs include:
What job categories do people searching Volunteer Political Data Science jobs look for? The top searched job categories for Volunteer Political Data Science jobs are:
Volunteer Political Data Science jobs near you
Infographic showing various Volunteer Political Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

US Department of Homeland Security

Washington, DC • On-site

$74K/yr

Other

Posted 23 days ago

U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

93rd of 289 rated public sector bodies

Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-11: Must have at least one year of specialized experience equivalent to GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Assisting with the application of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line)
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-12: Must have at least one year of specialized experience equivalent to GS-11 grade level in the Federal service. Specialized experience for this position includes:
  • Applying a range of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line).
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing clear, well organized written products and delivering oral briefings that explain analytical methods, results, and implications to both technical and non-technical audiences or management.
Minimum Qualifications GS-13: Must have at least one year of specialized experience equivalent to GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Conducting statistical analysis to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line.
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing and delivering clear, concise, and comprehensive written reports and oral presentations that communicate complex technical data analyses, findings, and recommendations to both technical and non-technical audiences, including senior management.

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.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.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

What U.S. Department Of Homeland Security employees say

Pay

Benefits

Hours and flexibility

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About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003

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