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AirbnbAirbnbUnited States

Staff Data Scientist

Develop and improve frameworks for estimating long-term causal impact of product changes at Airbnb, connecting short-term metrics to long-term outcomes using advanced causal inference methods. Requires advanced quantitative degree and 6-8+ years in experimentation/causal inference.

200k – 242k
Remote8+ YOEData Science

About the role

Responsibilities

  • Develop causal estimates for long-term impact of short-term metric movements.
  • Build frameworks for estimating how the impact of product changes evolves over time.
  • Create frameworks and tooling to evaluate the heterogeneous impact of product changes.
  • Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.

Requirements

  • Advanced degree in a quantitative field, e.g. Operations Research, Economics, Mathematics, Physics.
  • Proven ability to design analytical solutions to complex problems with real world applications.
  • Familiarity with recent developments in causal inference.
  • 6+ years (with Ph.D) or 8+ yrs (with Masters) of experience of working or doing research in one or more experimentation / causal inference domains.
  • Strong programming (R, Python / Scala / Java / C++ or equivalent) skills.
  • Versatility to communicate clearly with both technical and non-technical audiences.

Nice-to-Haves

  • Publications or presentations in recognized Data Science journals/conferences.

Skills

Causal InferenceExperimentationEconometricsQuasi-Experimental MethodsPythonRScalaJavaC++Data Science

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