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Political Data Science Jobs (NOW HIRING)

Civitech Inc

Data Acquisition Specialist

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 ...

Civitech

Data Acquisition Specialist

Austin, TX · Remote

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 ...

Menlo Ventures

Senior Data Scientist

San Francisco, CA · On-site

$123.20 - $218/hr

Shape the direction of key data science areas for 2020 - usage forecasting, product analytics, user ... ability, political affiliation, race, religion, sexual orientation, socio‑economic status ...

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 Aug 17, 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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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 7% Internship, 71% Full Time, 15% Part Time, and 7% Temporary. Highlights an 74% In-person, 11% Hybrid, and 15% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Principal Data Scientist - R01568403

Brillio

Edison, NJ

$190K/yr

Full-time

Re-posted 9 days ago

Job description

About Brillio:


Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio\'s relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.


Principal Data Scientist

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Job requirements

  • Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions

    Key Responsibilities:
      1. Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics
      2. Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting
      3. Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact
      4. Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering
      5. Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks
      6. Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models
      7. Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI
      8. Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team

    Required Skills:
      1. Expertise in hypothesis testing, including T-Test and Z-Test methodologies
      2. Advanced proficiency in regression techniques (linear and logistic)
      3. Strong programming skills in Python, PySpark, and R/R Studio
      4. Hands-on experience with SAS and SPSS for statistical analysis and computing
      5. In-depth knowledge of probabilistic graph models
      6. Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX
      7. Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM)
      8. Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
      9. Familiarity with distance metrics (Hamming, Euclidean, Manhattan)
      10. Working knowledge of Kubeflow and BentoML for model deployment and orchestration

    Preferred Skills:
      1. Experience implementing advanced model monitoring with Evidently AI
      2. Expertise in data pipeline automation and orchestration using Kubeflow
      3. Knowledge of emerging ML frameworks and architectures
      4. Experience with large-scale distributed computing environments
      5. Strong background in statistical validation and reproducibility best practices

    Desired Qualifications:
      1. Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
      2. Relevant certifications in machine learning, statistical analysis, or advanced data science

 

Know more about Data and AI: https://www.brillio.com/services-data-analytics/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

 

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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\\n$180,000 - $190,000 a year\\n

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