Data Scientist for the Markets team, focusing on market structure and liquidity.
•The Markets team is responsible for what gets listed on Polymarket, how those markets are structured, and whether they actually work.
•This role sits inside that team as the dedicated data scientist, owning the analytical layer that informs nearly every decision they make.
•Key Responsibilities Model liquidity dynamics across markets to identify what drives healthy order flow and inform how we structure and adjust liquidity rewards.
•Build and maintain recurring reports on market health metrics so the team has a clear, ongoing view of what is working and what is not.
•Audit new market listings using historical and comparable market data to recommend approval, structural adjustments, or rejection.
•Requirements Strong Python proficiency for data analysis, statistical modeling, and working with large datasets.
•SQL knowledge is a must.
•Deep, working knowledge of market structure.
•You should be able to reason about order books, spreads, liquidity provision, and market design tradeoffs without needing a primer.
•Experience owning analyses end to end, from scoping an ambiguous question to handing a stakeholder something they can act on.