Description
We are seeking a Senior Data Scientist to join the Payments Data Science organization at Airbnb. As a Senior Data Scientist, you will lead quantitative measurement efforts and bring novel scientific approaches to drive decision making across our platform's payment experience.
The Payments Data Science organization powers the systems that move money safely and efficiently across Airbnb's global marketplace. The team spans payment optimization for guests and hosts, fraud and risk mitigation, complex measurement, and regulatory compliance.
In this role, you will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our platform. You will have a particular focus on payments fraud mitigation and loss optimization, with the goal of making our platform safer for our community.
Responsibilities:
- Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
- Build methods for robust evaluation of ML/AI model efficiency and performance.
- Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
- Deliver robust research reports and effective data visualizations.
- Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
- Think strategically about opportunities to improve and scale our brand measurement and customer insights.
Requirements:
- 5+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field, or 3+ years of experience with a PhD degree.
- Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development.
- Skilled in statistical programming (Python or R) and database usage (SQL).
- Demonstrated track record of owning a business or technical domain end-to-end at a prior company.
- Proven ability to communicate clearly and effectively to audiences of varying technical levels.
- Ability to work independently, set your own roadmap, and drive cross-functional alignment.
- Payments Fraud/Risk Domain expertise is a strong plus.
- Familiarity with evaluating agentic or LLM-based systems is a plus.
Benefits:
- The base pay range is $179,000-$210,000 USD.
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.