Senior Data Scientist

Summary

Join Airbnb's Payments team as a Contract Senior Data Scientist to build data products and research-driven intelligence for improved payment outcomes. You will work with stakeholders to identify research questions, specify and estimate models to determine the impact of platform interventions, and deliver data and insights to drive growth and risk management. A typical day involves crafting models to forecast marketplace metrics, utilizing causal inference techniques to quantify the impact of platform changes, collaborating with cross-functional teams, and engaging with stakeholders. This role requires 5+ years of relevant experience, a Master's degree or PhD in a quantitative field, strong fluency in Python or R and SQL, and experience with causal inference and machine learning. The position is US-remote eligible with occasional office work.

Requirements

• 5+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
• Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
• Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
• Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

Responsibilities

• Working with stakeholders to identify and frame appropriate research questions to provide actionable intelligence/data products for the organization
• Specifying and estimating frameworks/models to determine the impact of platform interventions on marketplace outcomes
• Delivering data and insights to enable the company’s growth and risk management efforts
• Working seamlessly with cross-functional partners and exemplifying a high bar for technical excellence
• Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning
• Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes to our platform on our two-sides marketplace, informing targeted improvements and interventions
• Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success
• Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits