Senior Data Scientist - Algorithms

Summary

Join Airbnb's User Segmentation team and make a difference by developing and implementing methodologies to identify essential features that describe Airbnb users. You will leverage machine learning models, statistical inference, and AI to build actionable knowledge about guests, hosts, and listings. Collaborate with data engineering teams to ensure user features are widely accessible and impactful across the business. Your work will drive strategic decision-making and enhance user experiences. A typical day involves building machine learning models, working cross-functionally with other teams, developing measurement strategies, presenting work internally and externally, and devising models for optimal business decisions. You will utilize deep learning techniques for advanced feature engineering and model building. Success is measured by your ability to deliver robust data insights and scalable solutions.

Requirements

• Advanced degree in a quantitative field
• 6+ years of relevant industry and/or academic experience developing scientific frameworks, building machine learning models, and implementing advanced experimentation techniques
• Strong fluency in Python and familiarity with modern frameworks (e.g. Pytorch, Tensorflow) for hands-on IC work and advanced data analysis in SQL at scale
• Deep understanding of modern machine learning techniques and their mathematical underpinnings (e.g. classification, clustering, optimization, deep neural networks and natural language processing). Ability to develop, validate, and deploy new model applications as well as enhancing existing algorithms to achieve improved performance and model explainability
• Comfortable collaborating with software engineers to understand complex systems and abstracted logs
• Proven ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution of it
• Proven ability to communicate clearly and effectively to cross functional partners of varying technical levels

Responsibilities

• Build machine learning models to detect high-risk activities, develop data mastery to uncover learnings, and formulate structured frameworks to classify and interpret our users’ behavior
• Work cross-functionally with operations and product teams to define and collect labels for model training, optimize the effectiveness of manual review, and build self-satisfiable verifications that scale
• Develop measurement strategies to test new product features that deter and mitigate risk, while adhering to ethical guidelines
• Regularly present work internally 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
• Devise models to make optimal business decisions while minimizing risk
• Utilize Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behaviors sequences, or how can we detect anomalies effectively

Preferred Qualifications

• PhD is a plus
• Experience with advanced experimentation techniques is a plus
• Experience productionizing real-time machine learning models is a plus

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits