Remote Data Scientist: Algorithms for Community Support

Airbnb

United States

On-site

USD 151,000 - 175,000

Full time

14 days+

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Job summary

Airbnb is seeking a Data Scientist specializing in Algorithms in CS to partner with engineers, product managers, designers and operations to deliver personalized, fair experiences for hosts and guests using advanced LLM/ML modeling. This role emphasizes building scalable, scientific solutions and a bias toward impact.

You will explore data to uncover opportunities, prototype models, and deploy production systems that power data-driven features.

Qualifications

  • 2+ years of industry experience in data/ML science or related roles.
  • State-of-the-art knowledge of AI/ML models.
  • Strong fluency in Python/R and SQL.
  • Experience with LLM/ML workflows and deployment.
  • Ability to translate findings into actionable business insights.
  • Excellent communication and cross-functional collaboration.
  • Product-minded, with user-centric thinking.

Responsibilities

  • Identify high-impact opportunities through data exploration and model prototyping.
  • Analyze structured and unstructured data to derive insights.
  • Build and deploy production LLM/ML models for data-driven products.
  • Collaborate with Product, Design, Engineering, Operations, and Analytics teams.
  • Present findings to leaders to inform decisions.
  • Scale data science capabilities and contribute to long-term platform outcomes.

Skills

Python
SQL
R
LLM/ML modeling
Observational causal inference
Communication
Project management
Collaborative mindset

Education

Master’s degree or PhD in relevant fields

Job description

Airbnb is seeking a Data Scientist specializing in Algorithms in CS to partner with engineers, product managers, designers and operations to deliver personalized, fair experiences for hosts and guests using advanced LLM/ML modeling. This role emphasizes building scalable, scientific solutions and a bias toward impact.

You will explore data to uncover opportunities, prototype models, and deploy production systems that power data-driven features.

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