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Senior Data Scientist – Marketplace Economics
Job Description:

About the Role

A 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 On

  • Own the analytical framework for marketplace economics: pricing, promotions, scheduling, demand, and margin trade-offs
  • Design and interpret experiments to understand marketplace behavior and ambiguous results
  • Improve user acquisition, payment authorization rates, and promotion efficiency
  • Build models that quantify economic trade-offs across shopper volume, demand, and margin
  • Partner closely with engineering and leadership to rapidly test and deploy insights
  • Create lightweight automations or instrumentation to support experimentation (AI-assisted development welcome)

What You Bring

  • 3–4+ years in data science applied to consumer apps, gaming, marketplaces, or performance marketing
  • Strong economic reasoning about systems (pricing, virtual economies, marketplace optimization)
  • Advanced SQL and Python skills
  • Strong statistical modeling depth beyond basic A/B testing
  • Experience in fast-moving, high-intensity environments (startup or similar)
  • Degree in math, statistics, economics, physics, or another quantitative field
  • End-to-end ownership mindset and comfort with autonomy

Nice to Have

  • Experience applying game-economy or marketplace-pricing concepts
  • Exposure to media buying or user-acquisition analytics
  • Ability to ship small engineering automations
  • Background in applied economics, decision science, or game theory

Keywords: Data Science, Marketplace, Python, SQL, AB Testing, Pricing

Qualified candidates, please send your resume to Ilana Raz, Ilana@analyticrecruiting.com | For more opportunities, please visit www.analyticrecruiting.com.

Job ID: 24977

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