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Political Data Science Jobs in Chicago, IL (NOW HIRING)

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 ...

Senior Data Scientist

Chicago, IL · On-site +1

$103K - $172K/yr

D. in a Quantitative field such as Statistics, Mathematics, Data Science, Applied Analytics or in a Social Science with a quantitative focus such as Economics, Political Science, Psychology or ...

Senior Data Scientist

Chicago, IL · On-site

$104 - $173/hr

D. in a Quantitative field such as Statistics, Mathematics, Data Science, Applied Analytics or in a Social Science with a quantitative focus such as Economics, Political Science, Psychology or ...

Data Scientist II

Chicago, IL · On-site

$150K - $179K/yr

Data Scientist II Location: Chicago, IL Office: 3 days/week in South Loop office Reports to ... Chief Technology Officer (CTO) About Tavern Research Tavern Research is a political tech startup ...

Use data, public records, and research tools to uncover impactful stories * Engage with viewers ... Bachelor's degree in Journalism, Communications, Political Science, or related field * 3-5+ years ...

Use data, public records, and research tools to uncover impactful stories * Engage with viewers ... Bachelor's degree in Journalism, Communications, Political Science, or related field * 3-5+ years ...

Political Reporter

Chicago, IL · On-site

$60 - $72/hr

Use data, public records, and research tools to uncover impactful stories * Engage with viewers ... Bachelor's degree in Journalism, Communications, Political Science, or related field * 3-5+ years ...

Data Scientist II

Chicago, IL · On-site

$150 - $179/hr

ASAP About Tavern Research Tavern Research is a political tech startup building tools and insights ... Instead, you'll be expected to bring both scientific rigor and creativity to ambiguous, open-ended ...

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Showing results 1-20

Political Data Science information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do political data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for political data science in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

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.

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 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 most commonly searched types of Political Data Science jobs in Chicago, IL?

The most popular types of Political Data Science jobs in Chicago, IL are:

What job categories do people searching Political Data Science jobs in Chicago, IL look for?

The top searched job categories for Political Data Science jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Political Data Science jobs?

Cities near Chicago, IL with the most Political Data Science job openings:

Infographic showing various Political Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 6% Internship, 73% Full Time, 15% Part Time, and 6% Temporary. Highlights an 72% In-person, 12% Hybrid, and 16% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.

Data Scientist I

Tavern Research

Chicago, IL • On-site

$95K - $113K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Job description

Data Scientist I
Location: Chicago, IL
Office: 3 days/week in South Loop office
Reports to: Chief Technology Officer (CTO)
About Tavern Research
Tavern Research is a political tech startup building tools and insights to help our customers win elections and make better, evidence-based decisions. We specialize in scaling expert human work, such as content generation and survey research to support thoughtful, data-driven civic engagement. We're a venture-backed, mission-driven, fast-moving, and mostly technical team focused on supporting campaigns and organizations working to strengthen democratic participation. We are experimental by design and expect every team member to continuously improve how they work using new tools and technology. Everything else is on our website. If you still have questions, let us know when you apply!
About You
You're endlessly curious, adaptable, and detail-obsessed in the best way. You love rolling up your sleeves to wrestle messy data into shape, making it clean, usable, and ready to reveal its secrets. You're excited to learn from seasoned teammates but are also comfortable working independently on well-defined problems from day one.
You thrive in a collaborative, friendly, and nerdy environment where people genuinely love what they do. You chase the thrill of deep focus, appreciate your teammates' brainpower, and hunger for the rush of solving problems no one else has dared to tackle. These are the kinds of challenges that stay with you-in the shower, as you fall asleep, tugging at your brain in the best possible way.
You're interested in politics, and the ways in which public opinion is created and shaped. You understand the power of narratives to shape the world around us, and want to play a part in the high-stakes, real-world battle over hearts and minds.
Most importantly, you bring humility, patience, and a commitment to detail. You bring focus and efficiency to your work, knowing when to go deep and when to ship 'good enough.' You see this role as a chance to sharpen your craft, learn fast, and make a real contribution to high-stakes, real-world problems.
About the role
At Tavern Research, we're building models to understand and influence how people form opinions online. That means taking on problems like tracing how narratives spread through social platforms, or analyzing how different messages land with different audiences. The data is messy, the questions are ambiguous, and the stakes are high.
As a member of the Data Science team, your role is to help make this work possible. You'll dive into raw, noisy datasets to clean, structure, and prepare them for analysis. You'll run exploratory analyses to surface patterns, build features, and support experiments. You'll contribute to modeling tasks end-to-end, helping turn difficult, open-ended questions into tangible, testable results. While you'll collaborate closely with senior modelers, we expect new hires to ramp quickly and take ownership of clearly scoped modeling and data tasks.
From day one, you'll be hands-on with real-world data and problems that matter. You'll have support from senior team members, but you'll also be expected to bring rigor, patience, and persistence to your work. Over time, as your skills deepen, you'll have opportunities to take ownership of increasingly complex modeling projects, building toward the point where you can design and lead experiments yourself.
We value in-person collaboration and expect employees to work regularly from our Chicago office.
Responsibilities
  • Work hands-on with real-world, unstructured data: cleaning, debugging, and engineering features that support effective models.
  • Support the design and execution of numerical experiments by handling data prep, fitting models, and running standard analyses.
  • Contribute to feature engineering and model building, taking ownership of clearly defined components of modeling projects.
  • Write clean, well-documented Python code using standard data science libraries.
  • Assist with model evaluation, diagnostics, and performance monitoring.
  • Collaborate with researchers and engineers to scope and execute tightly defined tasks.
  • Learn and apply best practices and emerging tools in machine learning, AI, and causal inference.

Qualifications
We know it's rare to check every box. If you meet most of these, we encourage you to apply:
  • This role is designed for early-career candidates with 0-3 years of experience or equivalent hands-on project work who are eager to grow into more advanced modeling responsibilities.
  • Strong academic or applied background in data science and software engineering or closely related fields.
  • Experience building statistical models (beyond differential equations or simulations).
  • Demonstrated experience working with messy, real-world datasets.
  • Proficiency in Python and standard data science libraries.
  • Familiarity with AI and machine learning concepts like embeddings, supervised and unsupervised ML methods, and agentic systems
  • Clear understanding of the data science concepts behind work you've done (not just "I ran the code").
  • Strong communication skills and a collaborative mindset
  • Humility, patience, and attention to detail.
  • We especially value candidates who have independently built data or modeling projects outside of coursework, including internships, research, or production data work.
  • Bonus: exposure to model deployment, large language models, or causal inference.

To be explicit: you don't need a degree to work here. You just need to be exceptional at what we're asking from you.
Benefits
  • Premium health insurance
  • Unlimited PTO
  • Office closed for all federal holidays
  • 401k match
  • Equity

Tavern Research is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The pay range for this role is:
95,500 - 113,500 USD per year (Chicago, IL)