Airbnb Senior Data Scientist – Algorithms Content Integrity 

United States 

253930201

A Typical Day:

• 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
• Apply and experiment with state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems
• 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 optimization 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

Your Expertise:

• 4+ years of relevant industry and/or academic experience developing scientific frameworks, building machine learning models, and implementing advanced experimentation techniques (e.g. ML scientist, tech lead, junior faculty)
• Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection).
• 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.
• Industry experience building end-to-end Machine Learning system and/or building and productionizing Machine Learning models is a plus.