Data Scientist I

Tavern Research; Chicago (IL); On-site; USD 95,500 - 113,500; Full time

Benefits offered by this job

Unlimited PTO

Office closed for federal holidays

Equity

Job summary

A political tech startup in Chicago seeks an early-career Data Scientist to help build models that influence opinion formation online. As part of the modeling team, you will engage with messy datasets, perform exploratory analyses, and contribute to the end-to-end modeling process. Candidates should be familiar with Python and eager to learn about statistical modeling in a collaborative environment. This role offers opportunities to grow into complex modeling responsibilities.

Qualifications

• 0–3 years of experience or equivalent hands-on project work.
• Strong academic or applied background in related fields.
• Experience building statistical models is preferred.
• Demonstrated experience with messy datasets.
• Proficiency in Python and data science libraries.

Responsibilities

• Clean, debug, and engineer features from unstructured data.
• Support numerical experiments and model fitting.
• Contribute to modeling projects and write clean Python code.
• Assist with model evaluation and diagnostics.
• Collaborate with researchers on defined tasks.

Skills

Data cleaning

Feature engineering

Python programming

Statistical modeling

Machine learning concepts

Strong communication

Education

Background in data science or software engineering

Tools

Standard data science libraries

Job description

Office: 3 days/week in South Loop office

Reports to: Tavern Labs Director of Modeling

Salary Range: $95,500-$113,500 + Equity

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. 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 modeling 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 good at the things we’re asking from you.

• Unlimited PTO
• Office closed for all federal holidays
• Equity

Tavern Research is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.