Staff Data Scientist

Summary

Join Airbnb's Locations Data Science team as a Staff Data Scientist and help shape the data strategy for Locations at Airbnb. Collaborate with Product and Engineering teams to identify user pain points, build robust data products, and analyze location data to improve user experience. You will analyze and derive new location data products and features, ranging from recommending places-of-interest to modeling location affinities. A typical day involves building a deep understanding of the locations space, translating insights into impactful products, exploring data sources, quantifying product impact, and researching new measurement approaches. This US-remote eligible position requires an advanced degree and significant experience in data science and geospatial data.

Requirements

• Advanced degree (PhD or Masters) in Data Science, Statistics, Geographic Information Systems, Econometrics, or a related field
• 9+ years of relevant industry experience (6+ with a PhD)
• Proven ability to effectively communicate and influence at various altitudes to technical and non-technical stakeholders
• Prior experience working with XFN partners like product, engineering, and design to enable data-driven product development
• Familiarity prototyping, building, and scaling derived data assets

Responsibilities

• Build a deep understanding of the locations space through technical analysis
• Translate insights into impactful user-facing location data products or assets
• Drive exploration, development, and prototyping of innovative location data products in close partnership with product and engineering stakeholders
• Explore both internal and external data sources to derive impactful location assets
• Quantify the impact of launched data products through experimentation and/or causal inference techniques
• Research new approaches to measure items like location relevance and map behaviors to understand how they tie to user satisfaction and business outcomes

Preferred Qualifications

• Prior experience working with geospatial data
• Hands on experience using LLMs for information retrieval or knowledge extraction
• Related NLP, CV, UGC/content understanding experience

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits