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Full Time Political Data Science Jobs (NOW HIRING)

DataAnnotation

Data Science Consultant

Madison, WI · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

California, MO · On-site +1

$60/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Iowa, LA · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Lansing, MI · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Montpelier, VT · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Montgomery, AL · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Sioux Falls, SD · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

Meta

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

Responsibilities Inspire, lead and grow a distributed team of data scientists and data science ... genetic information, political views or activity, or other applicable legally protected ...

DataAnnotation

Data Science Consultant

Bismarck, ND · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Wyoming, MI · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Springfield, IL · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Jackson, MS · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Charleston, WV · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

College Board

Data Scientist, Data Science Team

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

Paylocity

Manager Data Science

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll ... political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic ...

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All JobsFull Time Political Data Science Jobs

Full Time Political Data Science information

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$46K

$165K

$243.5K

How much do full time political data science jobs pay per year?

As of Jun 6, 2026, the average yearly pay for full time 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 are the key skills and qualifications needed to thrive as a Full Time Political Data Scientist, and why are they important?

To thrive as a Full Time Political Data Scientist, you need strong analytical abilities, expertise in statistical modeling, and a background in data science or political science, often supported by an advanced degree. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with databases and survey analytics platforms are typically required. Excellent communication, critical thinking, and problem-solving skills make candidates stand out in translating complex data into actionable political insights. These skills and qualities are crucial for providing accurate, data-driven strategies that inform political campaigns, policy decisions, and public opinion analysis.

What are some typical challenges faced by data scientists working in political organizations, and how can they overcome them?

Data scientists in political organizations often encounter challenges such as handling incomplete or biased datasets, rapidly evolving priorities based on the political landscape, and communicating complex analyses to non-technical stakeholders. To overcome these obstacles, it’s important to develop robust data cleaning and validation processes, maintain flexibility in workflows, and cultivate strong communication skills to translate data insights into actionable strategies for campaign teams and decision-makers. Building collaborations with policy experts and campaign strategists can also help ensure the relevance and impact of your analyses.

What is a Full Time Political Data Scientist?

A Full Time Political Data Scientist is a professional who analyzes large sets of political data to uncover trends, make predictions, and provide insights that inform political campaigns, policy decisions, and public opinion research. They use statistical methods, machine learning, and data visualization tools to interpret data from sources such as polling, social media, voter databases, and demographic information. Working full time, they often collaborate with political consultants, strategists, and researchers to help shape campaign strategies and policy recommendations.
More about Full Time Political Data Science jobs
What are the most commonly searched types of Political Data Science jobs? The most popular types of Political Data Science jobs are:
What job categories do people searching Full Time Political Data Science jobs look for? The top searched job categories for Full Time Political Data Science jobs are:
Full Time Political Data Science jobs near you
Infographic showing various Full Time Political Data Science job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Science Consultant

Data Science Consultant

DataAnnotation

Madison, WI • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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