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MercorMercorSan Francisco, CA

Economist, Marketplace

Economist designing pricing, incentives, allocation rules, and running causal experiments for a two-sided AI talent marketplace. Requires advanced economics degree, strong causal inference and market design skills, and proficiency in SQL/Python/R.

130k – 500k
On-siteData Science

About the role

What You'll Own

  • Marketplace mechanism design: pricing, incentives, and allocation rules that balance supply and demand
  • Causal measurement of marketplace health — liquidity, match quality, fill rate, time-to-hire, and earnings
  • Experimentation: A/B and marketplace/switchback experiments to evaluate interventions under interference
  • Forecasting and modeling of supply, demand, and capacity across the talent network
  • Economic framing of ranking, matching, and routing objectives, in partnership with ML and engineering

Example Problems

  • Design pricing and incentive mechanisms that improve liquidity without sacrificing quality or margin
  • Quantify and mitigate marketplace failure modes: cold start, congestion, thinness, and supply/demand imbalance
  • Measure the causal impact of matching and routing changes when market participants interfere with one another
  • Build supply/demand forecasts that drive capacity planning and sourcing decisions
  • Define the objective functions and guardrail metrics the marketplace optimizes toward

What We're Looking For

  • Advanced degree (PhD or Master's) in Economics or a related quantitative field, or equivalent applied experience
  • Strong foundation in microeconomics / market design and in causal inference and experimentation
  • Proficiency with data and code (SQL plus Python or R) to run analyses end-to-end on real data
  • Ability to translate economic theory into mechanisms and metrics that ship in a live product
  • Clear communication of rigorous analysis to both technical and business audiences

Nice to Have

  • Experience with marketplaces, pricing, ranking/matching, or two-sided platforms (labor, ads, ridesharing, etc.)
  • Familiarity with experimentation under interference (network or marketplace experiments)
  • Experience partnering with ML and engineering teams to productionize models or mechanisms

Skills

Market DesignCausal InferenceExperimentationSQLPythonRMicroeconomicsPricingIncentivesForecastingSupply And Demand Modeling

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