Staff Data Scientist

Summary

Join Airbnb's Marketplace Data Science team as a Staff Data Scientist and contribute to the growth of our global marketplace. You will build data products, inference frameworks, and intelligence to drive innovation and optimize our dynamic platform. Responsibilities include crafting models to forecast key metrics, utilizing causal inference techniques, collaborating with cross-functional teams, and engaging with stakeholders. This US-remote eligible position requires 9+ years of relevant experience, a Master's or PhD in a quantitative field, and strong proficiency in Python/R and SQL. The role offers a competitive salary, bonus, equity, benefits, and Employee Travel Credits.

Requirements

• 9+ 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

• Specify and estimate models to determine the impact of supply and demand on marketplace outcomes
• Deliver data and insights to enable the company’s supply growth efforts
• Provide mentorship to other data scientists and exemplify a high bar for technical excellence
• Develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning
• Utilize cutting-edge causal inference techniques, quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions
• Actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success
• Engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits