Staff Data Scientist - Long Term Impact

We are seeking a Staff Data Scientist to join the Core Data Science team at Airbnb. The successful candidate will develop and improve frameworks for estimating the long-term impact of platform changes.

The mission of the Core Data Science team is to leverage state-of-the-art science to drive business and community impact. The ideal candidate will have expertise in causal inference, machine learning, and programming.

Key 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

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+ years (with Master's) of experience in experimentation/causal inference domains
• Strong programming skills in languages such as R, Python, Scala, Java, or C++
• Excellent communication skills for technical and non-technical audiences

This is a remote-eligible position, and the base pay range is $200,000-$242,000 USD per year.