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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