Tavern Research is a political tech startup that builds tools and insights to help their customers win elections and make better decisions. They specialize in scaling expert human work, like content generation and survey research.
Requirements
- Familiarity with survey design, experimental design, and polling workflows
- Experience cleaning and wrangling data in R or Python
- Experience using AI tools to support and optimize research workflows
Responsibilities
- Design and deploy surveys and experiments using Tavern’s proprietary research tools and methodology
- Manage survey fielding and data collection from start to finish, ensuring accuracy and timeliness
- Build and maintain a structured, searchable database of past survey content, including question wording, metadata, and fielding history
- Catalog and maintain evidence-based messaging insights to support survey design and content generation
- Clean and process raw survey data, including weighting survey data, performing regression analysis and statistical tests, and identifying key takeaways
- Conduct analysis and synthesize findings to support internal teams and client-facing deliverables
- Streamline workflows and improve efficiency with the assistance of generative AI tools
Other
- 1–4 years of experience in survey research, polling, public opinion, or related data-heavy work
- Strong organizational skills and an instinct for building clean, reusable systems
- Effective communicator, especially when translating data into actionable insights
- Interest in (or familiarity with) U.S. political campaigns and issue advocacy
- You're someone who doesn't just want to run surveys. You want to understand them. You like questions that are tricky, datasets that are messy, and workflows that need fixing.
