Airbnb is hiring a
Staff Data Scientist

Summary

Join the Marketing Technology team at Airbnb as a Machine Learning Scientist to build blue-sky prototypes of data products and optimize marketing campaigns. As one of the most senior ML Scientists, you will be hands-on in building prototypes and working closely with the ML Engineering team. The role requires strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale.

Requirements

• 9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in a quantitative field
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
• Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
• 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. Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community, that demonstrates an eagerness to learn and share
• Knowledge of experimentation and statistical biases. Familiarity with multi-sided marketplaces

Responsibilities

• Extract signals from large-scale structured, unstructured, and user journey data to generate ML-driven insights for improving the efficiency and performances of Airbnb marketing
• Demonstrate good judgment in selecting and evaluating methods and techniques for obtaining solutions
• Design, run, and diagnose experiments to validate hypotheses and performance of data prototypes
• Design systems that optimize the marketing engagement with users
• Work closely with ML Engineering team as a science partner on technical projects to understand user preferences
• Build data products, model, and identify user intent at various stages of the user product journey
• Research, present, and publish internally and externally, to engage and advance Airbnb’s standing in the scientific community
• Focus time – To build machine learning prototypes, develop data mastery to uncover learnings, and formulate structured frameworks to classify our users’ online product experience and interpret their behaviors
• Autonomy – To apply and investigate state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems
• Influence – Clearly scope the technical solutions, milestones of long term innovative projects and align with stakeholders for adoption
• Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
• Mentorship – Provide technical guidance to junior team members and be accountable for the project outcome
• Publish externally and engage with the scientific community to advance Airbnb’s standing

Preferred Qualifications

Nice to have: Hands on experience with large language models, i.e. BERT, LaMDA, GPT-2/3/4, LLaMa