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Tavern Research · 1 month ago

Data Scientist I

Chicago, IL

Full-time

Onsite

New Grad, Entry Level

$96K/yr - $114K/yr

0+ years exp

Tavern Research is a political tech startup focused on building tools and insights to assist customers in winning elections. They are seeking a Data Scientist I to work with messy datasets, conduct exploratory analyses, and contribute to modeling tasks that help understand and influence public opinion online.

AnalyticsArtificial Intelligence (AI)Market ResearchPoliticsSoftware

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 basic model building under the guidance of senior modelers

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

Qualification

Statistical modelingPythonData cleaningMachine learningFeature engineeringHumilityPatienceCommunicationCollaborative mindsetAttention to detail

Required

This role is designed for early-career candidates with 0–3 years of relevant experience 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