Remote Staff Data Scientist, Algorithms and Marketing Technology

Summary

Join our Marketing Technology team at Airbnb as a senior Machine Learning Scientist to build blue-sky prototypes of data products and optimize marketing campaigns.

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
• 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

Benefits

• US - Remote Eligible
• Bonus, equity, benefits, and Employee Travel Credits