Staff Data Scientist

Summary

Join Airbnb's data science team and optimize the guest search experience. As a Staff Data Scientist, you will build data products and inference frameworks to enhance personalization and accelerate marketplace growth. You will leverage causal inference techniques, collaborate with cross-functional teams, and communicate insights to stakeholders. This role requires 9+ years of experience, a Master's or PhD in a quantitative field, and strong programming skills in Python or R. The position is US-remote eligible with occasional office work. Compensation includes 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 setting working with Product, user-facing product, monetization, and/or 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 understand Guest preferences and intensity of their responses to different displays of personalized merchandising and search results
• Deliver data and insights to accelerate the ease of progressing Guests from search through booking
• Design strategies to investigate, experiment and validate the impact of product and recommendation strategies in close collaboration with Product and Eng leaders across the company
• Understanding data and crafting models: You will mine various internal datasets and externally-derived knowledge to understand our users and develop models of guests behavioral responses to enable accurate and proactive decision-making around designing our product
• Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of product and recommendation strategies on the customer journey, informing targeted improvements and interventions
• Cross-functional collaboration: You will actively collaborate with teams across product and engineering to integrate data science insights into initiatives aimed at enhancing dynamic personalization and high quality guest experiences
• Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits