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Political Data Science Jobs in Virginia (NOW HIRING)

... data, and constructing evidence-based political arguments. Emphasizes critical analysis of ... Familiar with political science curricula at introductory and upper-division levels and common ...

Data Scientist

Reston, VA ยท On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... political affiliation or veteran's status. Employment Type: FULL_TIME

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... political affiliation or veteran's status.

Data Scientist

Reston, VA ยท On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering ... political affiliation or veteran's status.

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Showing results 1-20

Political Data Science information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do political data science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for political data science in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Political Data Science position, and why are they important?

To thrive in Political Data Science, you need expertise in statistics, quantitative research methods, and programming (such as Python or R), often supported by a degree in data science, political science, or a related field. Familiarity with data visualization tools like Tableau, statistical software, and experience with databases and big data platforms are typically important, and certifications in data analytics can be an asset. Strong analytical thinking, collaboration, and effective communication skills help you explain complex findings to non-technical stakeholders. These abilities are crucial for providing actionable insights that influence strategic decisions in political campaigns, policy analysis, or governmental organizations.

What are typical daily responsibilities for a Political Data Science professional?

Political Data Science professionals typically spend their days collecting and cleaning large datasets related to voter behavior, public opinion, or legislative trends, and developing statistical models to interpret this information. They collaborate closely with campaign strategists, policy analysts, and communication teams to translate data-driven findings into actionable strategies. Presenting results through visualizations and clear reports is a key part of the job, ensuring that technical insights can influence decisions. The work often involves managing multiple projects simultaneously and adapting quickly to the fast-paced environment of politics and public policy.

What is a Political Data Science job?

A Political Data Science job involves analyzing political data to uncover trends, inform policy decisions, and support political campaigns or organizations. Professionals in this field use statistical modeling, machine learning, and data visualization to interpret voter behavior, public opinion, and legislative patterns. They often work with large datasets from surveys, elections, and social media to provide data-driven insights.

What are the most commonly searched types of Political Data Science jobs in Virginia? The most popular types of Political Data Science jobs in Virginia are:
What are popular job titles related to Political Data Science jobs in Virginia? For Political Data Science jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Political Data Science job openings in Virginia as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $163,603 per year, or $78.7 per hour.
Data Scientist

Full-time

Posted 9 days ago


Job description

Position Summary

Location: Norfolk, VA

National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level to support a contract with the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards.

Key Areas of Responsibility

  • Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members.
  • Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization.
  • Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence.
  • Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders.
  • Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management.

Government Security Clearance Requirement

  • Secret Clearance or higher.

Minimum Requirements

  • Hands-on experience working with Qlik / Qlik Sense.
  • Experience using Data Bricks, AWS, SQL, or Python.
  • Experience building and leading data management and analytics projects and initiatives for Federal clients.
  • Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders.
  • Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.
  • Knowledge of big data technology infrastructure and environments.
  • Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.)
  • Experience in developing machine learning models.
  • Results-driven, creative, and analytical.
  • Strong leadership and ability to work within cross-functional groups.

Preferred Qualifications

  • Bachelors degree in Computer Science, Data Science, Computational Science, or related field
  • Masters of Science Degree in Computer Science, Data Science, Computational Science or related field.

Special Position Requirements

Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time.




NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us at recruiting@nccsite.com. Please reference the position in your email.
NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.