Airbnb is hiring a
Staff Data Scientist

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Airbnb

πŸ’΅ $192k-$243k
πŸ“Remote - United States

Summary

Join Airbnb's mission-driven company to help create a world where anyone can belong anywhere. As a Data Scientist working on Algorithms for Customer Support (CS), you will collaborate with engineers, product managers, designers, and operation agents to build scalable systems to detect, mediate, and solve issues across various entry points using NLP methods.

Requirements

  • 9+ 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, anomaly detection)
  • Proficiency with LLMs and/or related AI, NLP, CV, UGC/content understanding topics including deep learning, information retrieval, or knowledge extraction
  • Comfort to collaborate with software engineers to understand complex systems and abstracted logs
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels
  • Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community

Responsibilities

  • Identify high impact business opportunities through data exploration and model prototype
  • Translate business problem into scientific formulations
  • Work collaboratively with cross functional partners to refine requirements for machine learning models, drive scientific decisions, and quantify impact
  • Hands-on develop, productionize, and operate machine learning models and pipelines at scale
  • Build reusable, high-performing, scalable machine learning models with internal paved path tooling
  • Regularly present work internally at monthly meetings to technical, engineering and product stakeholders
  • Publish externally and engage with the scientific community to advance Airbnb’s standing

Benefits

  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

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