Data Scientist - Algorithms, Community Support

Airbnb

15h•$151,000 - $175,000•Remote

About The Position

As a Data Scientist working on Algorithms in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced LLM/ML modeling for Community Support. We're looking for a talented Data Scientist with LLM/ML expertise to join the Community Support Data Science team. In this role, you'll partner closely with the tech lead to tackle significant components of high-impact projects with a direct opportunity to shape and influence our AI-powered products, differentiated service experiences, and operational optimization strategies. The ideal candidate combines deep technical fluency in LLM/ML with a bias toward action and impact, comfort with ambiguity, and a passion for building scalable, scientific solutions.

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 and results into compelling narratives that drive impact.
Excellent project management, communication, and collaboration skills.
A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience.

Nice To Haves

observation causal inference skill is a plus.

Responsibilities

Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality.
Scale the high-quality synthetic datasets curation across various CS domains for training and evaluating LLM.
Build LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement.
Build personalization models to offer differentiated experiences and maximize business impact.
Discover Opportunities: Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations.
Uncover Insights: Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
Build and Ship: Build and deploy production LLM/ML models that directly contribute to the launch of data-driven products, leveraging AI tools to enhance efficiency and impact.
Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes.