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.
About the job
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 Design, Causal Inference, Experimentation, SQL, Python, R, Microeconomics, Pricing, Incentives, Forecasting, Supply And Demand Modeling
Similar jobs
Data Science jobs
Ramp
New York, NYDevelops and ships data science models and financial insights that guide Finance and business decisions. The role requires 3+ years of industry experience, strong SQL and AI proficiency, and familiarity with financial metrics or B2B enterprise sales processes.
Axle
Bethesda, MD
Conducts independent neuroscience experiments involving multi-electrode and electrophysiological recordings, analyzes data, prepares publication-ready materials, and mentors junior staff. Requires a related master's degree, three years of experience, Biology expertise, and strong data presentation skills.
Ramp
New York, NYOwn Ramp’s AI-focused economic research and build a customer-facing economics function using large-scale business spend data. The role requires 5+ years as a data scientist or economist, strong SQL and BI expertise, rigorous writing, data visualization, and executive communication.
Forge
New York, NYAnalytics Manager serving as a hands-on individual contributor, partnering cross-functionally to solve business problems, design experiments, build predictive models, and deliver trusted reporting. Requires 5–7 years of relevant experience, advanced SQL, Python, machine learning, and strong stakeholder communication.
Voltus
United States
Own demand generation and field marketing for selected US and Canadian territories, partnering closely with Sales and Energy Markets to generate pipeline, advance deals, and support program launches. The role requires end-to-end B2B campaign experience, strong communication, and proficiency with HubSpot and Salesforce.