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Senior Data Scientist / Analyst, Markets (Web3)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Страна
US

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TL;DR
Senior Data Scientist / Analyst, Markets (Web3) (Python/SQL): Building market-health analytics, liquidity models, and recurring performance reporting for a decentralized prediction-market platform with an accent on order-book dynamics, incentive design, and market quality. Focus on evaluating liquidity rewards, diagnosing underperforming markets, auditing listings, and developing frameworks for decision-ready market analysis.

Senior Data Scientist / Analyst, Markets

Company

Polymarket

Conditions

6 days agoLead New York, USA Onsite Full Time Data Science Jobs by Polymarket

Polymarket Polymarket is a decentralized information markets platform that lets users bet on the outcome of real-world events. Series BRecently funded 9 current maintainers 6 active leads 1 new active lead 12 lead step-downs 6 early lead departuresTeam intelligence Maintainer signals as of 8/14/2026 1280 Lexington Avenue, New York, USA, United States Funding history Unknown ($600M) Unknown ($600M) Strategic ($2B) Investors Founders fund Valor Capital Group 1789 SV Angel ParaFi Capital Projects Polymarket Trading Platform Prediction Markets About Polymarket Polymarket is an information markets platform where users can trade on the outcomes of various events, leveraging the power of free markets to forecast the future. It provides a mechanism for users to bet on real-world events and earn money based on the outcomes. View jobs by Polymarket

Skills

Analytics Automated Market Maker Blockchain Analytics Clob Data Analysis Incentive Design Liquidity Market Design Market Structure Modeling Order Book Python Reporting Sql Statistics

Candidate Availability

New York · Required Onsite · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You build infrastructure for understanding market health, model liquidity dynamics, and analyze the factors that drive healthy order flow. You own analytics for liquidity rewards and rebate programs, create recurring market performance reporting, audit new listings, diagnose underperforming markets, track competitive coverage, and develop frameworks for evaluating market quality. You scope ambiguous data questions, identify instrumentation gaps, collaborate with engineering, and document analyses clearly from end to end.

Requirements

  • 7+ years in analytics, data science, market operations, or exchange strategy
  • Expert SQL
  • Strong Python for data analysis, statistical modeling, and large datasets
  • Deep knowledge of market structure, order books, spreads, liquidity provision, and market design
  • Ability to reason about incentive design and participant behavior
  • Experience owning analyses from scoping through actionable delivery
  • Ability to set priorities and work independently in a non-data team
  • High accuracy standards
  • Ability to operate in a fast-moving environment with frequently changing business logic
  • Experience at a prediction market platform, trading firm, or fund near market structure or liquidity questions
  • Familiarity with automated market makers, CLOB mechanics, or decentralized exchange design
  • Experience building or evaluating liquidity incentive programs
  • Familiarity with on-chain data or blockchain analytics

Responsibilities

  • Model liquidity dynamics across markets to identify drivers of healthy order flow and inform liquidity rewards
  • Own analytics for liquidity rewards and rebate programs, including payouts, depth, spreads, maker behavior, incentive pricing, and program gaming
  • Build and maintain recurring reporting on market health and market-by-market performance
  • Audit new market listings against historical and comparable data and recommend approval, adjustment, or rejection
  • Diagnose underperforming markets and identify root causes
  • Track competitive listing coverage and prioritize meaningful catalog gaps
  • Develop frameworks for evaluating market quality across listings and product decisions
  • Scope data questions, prioritize them, and deliver decision-ready outputs
  • Identify data collection and instrumentation gaps and work with engineering to address them
  • Document analyses clearly and thoroughly

Benefits

  • Competitive salary and equity
  • Unlimited PTO
  • Full health, vision, and dental coverage
  • 401k match
  • New MacBook Pro, big display, and accessories

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