Data Scientist - Algorithms, Community Support

Summary

Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. The Data Scientist will develop and deploy LLM/ML models for Community Support, automate evaluation processes, curate synthetic datasets, understand customer issues, and build personalization models. The role also involves cross-functional collaboration, data analysis, and communicating insights to guide product and operational decisions.

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
• Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations
• Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy
• 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
• Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation
• Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making
• 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

Skills

• 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
• Observation causal inference skill is a plus

Qualifications

Must Haves

• 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

Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
• This position is US - Remote Eligible.