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Political Data Science Jobs (NOW HIRING)

Microsoft

Principal Data Scientist - CoreAI

Redmond, WA · On-site

$188K - $304K/yr

Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We ... political affiliation, protected veteran or military status, race, ethnicity, religion, sex ...

Civitech

Data Acquisition Specialist

Austin, TX · On-site +1

Experience working with political data * Experience partnering with software engineers and ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Vaco LLC

Data Scientist

Cranberry, PA · On-site

Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science ... political affiliation, or any other protected characteristics as required by federal, state or ...

Varsity Tutors

College Political Science Tutor

Logan, UT · Remote

$18 - $40/hr

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

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How much do political data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for political data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a political data science?

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 typical daily responsibilities of 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 are the key skills and qualifications needed to thrive in political data science, 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.

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Cities with the most Political Data Science job openings:

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

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What states have the most Political Data Science jobs?

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Political Data Science jobs near you
Infographic showing various Political Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Sterling Computers Corporation

North Sioux City, SD • On-site

Full-time

Re-posted 27 days ago

Job description

Title: Data Scientist 

Reports to: Director of Product and Business Development

Location: North Sioux City, SD

Job Description: Sterling is seeking a highly skilled and motivated Data Scientist to join our growing team. In this role, you will be instrumental in developing and implementing advanced data solutions that enhance our operational and financial reporting capabilities. You will work on internal data science projects, build sophisticated data products, and provide data-driven insights to support our sales teams. Additionally, you will play a key role in our nascent generative AI initiatives, exploring and applying cutting-edge techniques to unlock new possibilities.

Primary Responsibilities

  • Design, develop, and deploy complex data products and models to improve operational efficiency and financial reporting accuracy.
  • Collaborate with cross-functional teams, including operations, finance, and sales, to understand business needs and translate them into data science solutions.
  • Perform in-depth data analysis to identify trends, patterns, and insights that can drive business improvements and inform strategic decisions.
  • Develop and maintain robust data pipelines and integrate various data sources to ensure data quality and accessibility.
  • Support sales teams by providing analytical tools, predictive models, and custom reports that enhance sales performance and customer understanding.
  • Participate in the research, experimentation, and implementation of generative AI models and applications, contributing to the company's innovative efforts.
  • Communicate complex analytical findings and recommendations clearly and effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Qualifications

  • Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Ph.D. is excellent.
  • Strong proficiency in Python is extremely important, including experience with libraries such as pandas, scikit-learn, and PyTorch.
  • Solid understanding and experience with data modeling principles.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Databricks.
  • Ability to work alongside data engineers including building and maintaining data pipelines.
  • Proven ability to work effectively alongside data analysts and data engineers, fostering a collaborative environment.
  • Must enjoy working with both technical and non-technical coworkers to understand their problems and collaboratively create innovative data solutions.
  • Demonstrates boundless curiosity and creativity in approaching data challenges.

 Preferred Experience:

  • Experience with agentic AI concepts or applications.
  • UI prototyping capabilities, particularly with tools like Streamlit.
  • R programming experience.


Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.