Staff Data Scientist (Long Term Impact)

Join Airbnb as a Staff Data Scientist focused on long-term impact estimation. In this role, you will develop and improve frameworks for estimating long-term impact, create tools to evaluate the impact of product changes, and apply causal inference methods. You will have the opportunity to make a significant impact on Airbnb's mission and work in a collaborative and innovative environment.

• Develop and improve frameworks for long-term impact estimation and own the most important estimation problems.
• Develop causal estimates for long-term impact of short-term metric movements and build frameworks for estimating how the impact of product changes evolves over time.
• Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
• 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
• Publications or presentations in recognized Data Science journals/conferences is a plus
• Versatility to communicate clearly with both technical and non-technical audiences
• Strong programming (R, Python / Scala / Java / C++ or equivalent) skills
• Proven ability to design analytical solutions to complex problems with real world applications
• Advanced degree in a quantitative field, e.g. Operations Research, Economics, Mathematics, Physics
• Familiarity with recent developments in causal inference