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Senior Data Scientist - Marketplace Economics

Analytic Recruiting

Job Description:About the RoleA rapidly scaling consumer marketplace is seeking a Senior Data Scientist to own and optimize the economics of its marketplace. This is a high-impact, high-visibility role working directly with senior leadership to shape pricing, promotions, product scheduling, and overall marketplace performance. You’ll operate in a fast, experimental environment where insights can be shipped the same day.What You’ll Work OnOwn the analytical framework for marketplace economics: pricing, promotions, scheduling, demand, and margin trade-offsDesign and interpret experiments to understand marketplace behavior and ambiguous resultsImprove user acquisition, payment authorization rates, and promotion efficiencyBuild models that quantify economic trade-offs across shopper volume, demand, and marginPartner closely with engineering and leadership to rapidly test and deploy insightsCreate lightweight automations or instrumentation to support experimentation (AI-assisted development welcome)What You Bring3–4+ years in data science applied to consumer apps, gaming, marketplaces, or performance marketingStrong economic reasoning about systems (pricing, virtual economies, marketplace optimization)Advanced SQL and Python skillsStrong statistical modeling depth beyond basic A/B testingExperience in fast-moving, high-intensity environments (startup or similar)Degree in math, statistics, economics, physics, or another quantitative fieldEnd-to-end ownership mindset and comfort with autonomyNice to HaveExperience applying game-economy or marketplace-pricing conceptsExposure to media buying or user-acquisition analyticsAbility to ship small engineering automationsBackground in applied economics, decision science, or game theoryKeywords: Data Science, Marketplace, Python, SQL, AB Testing, PricingQualified candidates, please send your resume to Ilana Raz, View email address on click.appcast.io | For more opportunities, please visit

Vacancy posted 2 days ago
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