Staff Data Scientist- Long Term Impact

Details

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