# Data Scientist

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Science
**Salary:** $151k – $175k/yr
**Experience:** 2+ years
**Skills:** LLMs, Machine Learning, Python, R, SQL, Causal Inference, Data Analysis, model prototyping, synthetic data generation, personalization models
**Posted:** 2026-07-15

> Data Scientist building and deploying LLM/ML models for personalized, AI-powered Community Support experiences at Airbnb. Requires 2+ years experience, Master's/PhD, strong Python/R/SQL, and state-of-the-art AI/ML knowledge.

## Job Description

## Responsibilities
- Identify high-impact business opportunities through data exploration and model prototyping; translate business problems into scientific formulations.
- Analyze structured and unstructured data to uncover insights and craft actionable proposals.
- Build and deploy production LLM/ML models that contribute to data-driven products.
- Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality.
- Scale high-quality synthetic datasets curation across various CS domains for training and evaluating LLMs.
- Build LLM/ML models to understand customer issues based on diverse datasets, identify failure modes, and find opportunities for improvement.
- Build personalization models to offer differentiated experiences and maximize business impact.
- Collaborate cross-functionally with Product, Design, Engineering, Operations, and Analytics teams.
- Communicate learnings to leaders and stakeholders to drive data-driven decisions.
- Scale and evolve data science capabilities within the domain.

## Requirements
- 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields.
- State-of-the-art knowledge of AI/ML models.
- Strong fluency in Python/R and SQL.
- Proven ability to communicate clearly and effectively to audiences of varying technical levels.
- Ability to translate complex findings into compelling narratives that drive impact.
- Excellent project management, communication, and collaboration skills.
- Product-oriented mindset with conceptual and innovative thinking applied to user experience.

## Nice-to-Haves
- Observation causal inference skills.

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