Airbnb aims to provide a peace of mind for guests and hosts through its AirCover product, and is seeking a Data Scientist to contribute to building scalable and robust systems to detect, mediate, and solve issues.
Requirements
- Strong fluency in Python and SQL
- Experience with Tensorflow, PyTorch, Airflow and data warehouse
- Deep understanding of Machine Learning lifecycle best practices
- Proficiency with LLMs and/or related AI, NLP, CV, UGC/content understanding topics
- Comfort to collaborate with software engineers to understand complex systems and abstracted logs
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
Responsibilities
- Develop accurate, agile, and explainable fraud detection systems
- Detect intents across various entry points with large-scale unstructured data using NLP methods
- Collect evidence from images and receipts to gauge monetary value of the request leveraging computer vision
- Optimize presentation of AirCover products through designing thoughtful user segmentation and personalization
- Route high-complexity issues to agents with personalized strategy, incorporating user history and agent performance
- Summarize customer journey and conversations with foundational or fine tuned large language models (LLM) to assist operation agents
Other
- 9+ years of relevant industry experience
- Master’s degree or PhD in relevant fields
- Occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager
- Must live in a state where Airbnb, Inc. has a registered entity
- Strong intellectual curiosity with high level of pragmatism and engagement with the technical community
