Airbnb Senior Data Scientist – Algorithm Payments 

United States 

938891663

About the position:

A Typical Day:.

• Identify high impact business opportunities through data exploration and model prototyping, translate business problems into scientific formulations.
• Build, productionize, and operationalize machine learning models and pipelines at scale, develop data mastery to uncover learnings, and formulate structured frameworks to classify and interpret our users’ behavior.
• 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.
• 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.
• Apply and experiment with state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems
• Regularly present work internally at monthly meetings 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.

Your Expertise:

• Advanced degree in a quantitative field. PhD is a plus.
• 4+ 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 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.