Data Scientist I: Real-World Modeling & Impact — Equity

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

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.