Data Scientist

Summary

Join Airbnb's AirCover team as a Data Scientist and contribute to building robust systems for fraud detection and issue resolution. Collaborate with engineers, product managers, and other data scientists to develop and implement machine learning models. You will leverage NLP, computer vision, and deep learning techniques to analyze large-scale data and improve platform quality. This role requires strong Python and SQL skills, experience with various machine learning tools, and excellent communication abilities. The position is US-remote eligible, with occasional office work or offsite attendance. Compensation includes a competitive salary, bonus, equity, benefits, and employee travel credits.

Requirements

• 2+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
• Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse
• Deep understanding of Machine Learning lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation)
• Proven ability to communicate clearly and effectively to audiences of varying technical levels, observation causal inference skill is a plus
• Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community

Responsibilities

• Develop accurate, agile, and explainable fraud detection systems to guard platform quality
• Detect various intents across various entry points with large scale unstructured data using NLP methods
• Collect evidence from images and receipts to gauge monetary value of the request leveraging computer vision
• Utilize Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences
• Integrate causal modeling with ML models in order to improve performance of model-derived interventions

Preferred Qualifications

Publications or presentations in recognized journals/conferences is a plus

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits