Overview
Work as a Data Scientist on the Community Support Data Science team, using advanced LLM/ML modeling to enable personalized, fair, and exceptional experiences for guests and hosts. Partner with engineering, product, design, operations, and analytics teams to shape AI-powered products, service experiences, and operational optimization strategies.
What you'll do
- Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality.
- Scale high-quality synthetic dataset curation across various Community Support domains for training and evaluating LLMs.
- Build LLM/ML models to understand customer issues from 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 contribute to data-driven product launches, leveraging AI tools to enhance efficiency and impact.
- Build 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 scaling and evolving data science capabilities within the domain, contributing to the long-term vision for how science drives platform outcomes.
What you'll need
- 2+ years of relevant industry experience, such as data/ML scientist, tech lead, or junior faculty.
- 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 have
- Observation causal inference skill.
Details
- Location: Remote - USA; you must live in a state where Airbnb, Inc. has a registered entity.
- The position is US - Remote Eligible.
- The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager.
Read the full description and apply on the company’s own careers page.