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Political Data Science Jobs (NOW HIRING)

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 ...

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 ...

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

You will work closely with country analysts, industry analysts, economists, political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise ...

Tavern Research

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

Chief Technology Officer (CTO) About Tavern Research Tavern Research is a political tech startup ... As a member of the Data Science team, your role is to help make this work possible. You'll dive ...

Varsity Tutors

College Political Science Tutor

NM · Remote

$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 ...

Varsity Tutors

College Political Science Tutor

NE · Remote

$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 ...

Varsity Tutors

College Political Science Tutor

LA · Remote

$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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All JobsPolitical Data Science Jobs

Political Data Science information

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$46K

$165K

$243.5K

How much do political data science jobs pay per year?

As of Jun 16, 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 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.

More about Political Data Science jobs
What cities are hiring for Political Data Science jobs? Cities with the most Political Data Science job openings:
What are the most commonly searched types of Political Data Science jobs? The most popular types of Political Data Science jobs are:
What states have the most Political Data Science jobs? States with the most job openings for Political Data Science jobs include:
What job categories do people searching Political Data Science jobs look for? The top searched job categories for Political Data Science jobs are:
Political Data Science jobs near you
Infographic showing various Political Data Science job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 20% Part Time, 2% Temporary, 26% Contract, and 2% Nights. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist (AI/NLP)

Davis Polk and Wardwell LLP

New York, NY • On-site

$200K - $240K/yr

Full-time

Posted 7 days ago

Job description

Davis Polk & Wardwell LLP (including its associated entities) is an elite global law firm with world-class practices across the board. Clients know they can rely on Davis Polk for their most challenging legal and business matters. From offices in the world's key financial centers and political capitals, our more than 1,000 lawyers collaborate seamlessly to deliver exceptional service, sophisticated advice and creative, practical solutions. Visit davispolk.com.
Position Summary
We are seeking a talented and driven Data Scientist (AI/NLP). to join our technology team. This is a high-impact, cross-functional role at the intersection of data science, artificial intelligence, and legal operations. You will develop and deploy advanced NLP and machine learning solutions that transform how the firm manages, retrieves, and leverages its institutional knowledge and legal documents.
This position partners closely with attorneys, legal professionals, and firm leadership to identify opportunities where AI and data science can deliver measurable value - from automating document workflows to building intelligent knowledge management systems.
Essential Duties and Responsibilities
  • Design, develop, and deploy machine learning and NLP models to support document understanding, contract analysis, legal research, and knowledge extraction
  • Build and maintain intelligent knowledge management systems that organize, surface, and operationalize the firm's institutional knowledge and precedent library
  • Apply state-of-the-art large language models (LLMs) and generative AI tools to legal workflows, including document classification, summarization, entity extraction, and semantic search
  • Partner with attorneys and business professionals to translate complex legal requirements into structured data science solutions
  • Write clean, production-quality code and build scalable data pipelines that integrate with firm systems and infrastructure
  • Evaluate, implement, and continuously improve AI/ML tools, frameworks, and vendor solutions relevant to the legal industry
  • Define and track model performance metrics, communicate results clearly to both technical teams and business stakeholders, and drive iterative model improvement
  • Present findings, model outputs, and project updates clearly to both technical and non-technical stakeholders
  • Contribute to the firm's AI strategy and governance by staying current on developments in legal AI, data privacy, and responsible use of AI
  • Collaborate with IT infrastructure, security, and application teams to ensure solutions meet firm standards for reliability, security, and compliance

Qualifications/Position Requirements
  • Direct experience working in a law firm, legal technology company, or enterprise NLP environment
  • Deep expertise in Natural Language Processing (NLP) - including text classification, named entity recognition, semantic similarity, summarization, and document parsing
  • Hands-on experience with LLMs and transformer-based architectures (e.g., GPT, BERT, or similar) and proficiency in Hugging Face and LangChain frameworks
  • Strong proficiency in Python and relevant ML/data science libraries (scikit-learn, PyTorch, spaCy, etc.)
  • Experience building and deploying end-to-end machine learning pipelines in production environments
  • Solid understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) architectures
  • Experience defining and tracking model performance metrics (e.g., precision, recall, F1, ROUGE) to evaluate and communicate model effectiveness to technical and non-technical audiences
  • Demonstrated ability to manage and process large, unstructured datasets
  • Familiarity with at least one major cloud platform (Azure, AWS, or GCP)
  • Excellent communication skills with the ability to work across technical and non-technical teams
  • Strong analytical and problem-solving ability with a rigorous, detail-oriented approach

Education and/or Experience
  • Bachelor's or Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, or a related quantitative field
  • 5-7 years of experience in data science, machine learning, or AI engineering roles

Compensation
The expected base salary for this position ranges from $200,000-240,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, anticipated assignment, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. Davis Polk offers a competitive salary and comprehensive benefits package.

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