Airbnb Staff Data Scientist – Inference Customer Support 

United States 

127377543

The Difference You Will Make:

For this role, we’re seeking a causal inference expert to join the Customer Support Data Science team, and have a direct opportunity to contribute, influence, and lead in the CS Personalization space by designing scalable scientific solutions for problems like:

• Identifying heterogeneous treatment effects which can be used to design tailored experiences.
• Find causal relationships between a customer’s CS experience and long term loyalty
• Develop data driven segmentation strategies which can be automated at scale
• Provide strategic insights around tradeoffs between CS quality and cost to empower us to offer the best possible CS experience to our customers

A Typical Day:

• Identify high impact business opportunities through data exploration and model prototype, translate business problem into scientific formulations
• Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact
• Hands-on develop, productionize, and operate causal models and pipelines at scale, including both batch and real-time use cases
• Design and analyze experiments to measure the effectiveness feature launches
• Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
• Publish externally and engage with the scientific community to advance Airbnb’s standing

Your Expertise:

• 9+ years of relevant industry experience (e.g. data scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
• Strong fluency in Python, SQL, and statistical programming such as R
• Deep knowledge of causal inference and experimentation
• Proven ability to communicate clearly and effectively to audiences of varying technical levels
• Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus
• Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience

Preferred Expertise:

• Experience in operational research or personalized marketing models a plus

Offices: United States