Senior Data Scientist - Algorithms

Summary

Join Airbnb's Trust team as a Data Scientist and collaborate with engineers, product managers, and designers to build machine learning models for fraud detection and risk mitigation. You will work on a wide range of projects, from improving payment experiences to bolstering fraud detection capabilities. A typical day involves building and deploying machine learning models, working with cross-functional teams to collect data, developing measurement strategies, and presenting findings to stakeholders. You will also explore state-of-the-art innovations and publish your work externally. This role requires an advanced degree in a quantitative field, 4+ years of relevant experience, strong programming skills, and deep understanding of machine learning. The position is US-remote eligible with occasional office work.

Requirements

• Advanced degree in a quantitative field
• 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

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 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

Preferred Qualifications

• PhD is a plus
• Industry experience building end-to-end Machine Learning system and/or building and productionizing Machine Learning models is a plus

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits