1

Political Science Data Analytics Jobs in California

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Analyze data and build analytical capabilities to improve the reliability and adversarial resilience of critical infrastructure. * Write code to implement and deploy data science solutions and ...

This role blends analytical thinking with practical engineering skills in a highly collaborative environment. Minimum Qualifications 7+ years of industry experience in Data Science, Data Engineering ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Analyze data and build analytical capabilities to improve the reliability and adversarial resilience of critical infrastructure. * Write code to implement and deploy data science solutions and ...

Analyze data and build analytical capabilities to improve the reliability and adversarial resilience of critical infrastructure. * Write code to implement and deploy data science solutions and ...

Data Science / Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Company Description Intelliswift Software, Inc 5+ years of experience in software/data applications ... Excellent analytical and problem solving skills. Proven results-oriented person with the ability to ...

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

Qualifications and Experience • Bachelor's degree or equivalent industry experience preferred. • 1-3 years experience in a data analytics/science role, ideally from a SaaS/ERP/API company • ...

Showing results 41-60

Political Science Data Analytics information

See California salary details

$37K

$121.1K

$193.9K

How much do political science data analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for political science data analytics in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a political science data analytics job?

A Political Science Data Analytics job involves using data analysis techniques to study political systems, public policy, voter behavior, and government operations. Professionals in this field collect, clean, and analyze political data to identify trends, make predictions, and provide insights for decision-making. They may work for government agencies, political campaigns, think tanks, or research institutions. Skills in statistical analysis, programming (e.g., Python, R), and data visualization are essential. The goal is to use data-driven insights to better understand political phenomena and contribute to informed policymaking.

What are the typical daily responsibilities of someone working in political science data analytics?

Professionals in Political Science Data Analytics typically spend their days collecting and cleaning data, running statistical analyses, and interpreting results to uncover trends in political behavior or policy impacts. They often collaborate with researchers, policy analysts, and decision-makers to translate complex data findings into clear reports, presentations, or policy recommendations. A portion of the work may also involve developing and maintaining databases and automating processes for ongoing analytical projects. This role offers exposure to real-world policy issues and can involve presenting findings to both technical and non-technical audiences, making it dynamic and intellectually stimulating.

What are the key skills and qualifications needed to thrive in political science data analytics, and why are they important?

To thrive in Political Science Data Analytics, you need a strong background in political science, quantitative analysis, and statistics, often supported by a relevant degree. Familiarity with statistical software like R, Python, SQL, or SPSS and experience in data visualization tools such as Tableau are commonly expected. Strong analytical thinking, attention to detail, and the ability to communicate complex findings to non-technical stakeholders are key soft skills. These abilities are crucial for deriving actionable insights from political data and supporting strategic decision-making in policy, government, or research organizations.

What are the most commonly searched types of Political Science Data Analytics jobs in California? The most popular types of Political Science Data Analytics jobs in California are:
What cities in California are hiring for Political Science Data Analytics jobs? Cities in California with the most Political Science Data Analytics job openings:
Infographic showing various Political Science Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

$74K/yr

Other

Posted 9 days ago


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