Data Scientist – Algorithms, Community Support

Airbnb

Data Scientist specializing in Algorithms for Airbnb's Community Support team. Collaborating on AI-powered products and enhancing customer service through ML.

Posted 6/28/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $151,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & 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.
Contribute to the long-term vision for how science drives platform outcomes within your domain.

Requirements

What you’ll need

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, observation causal inference skill is a plus.
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.

Benefits

Comp & perks

Bonus
Equity
Benefits
Employee Travel Credits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ExplorationModel PrototypingCausal InferenceData-Driven Decision MakingUser Experience Consideration

Soft Skills

Effective CommunicationCollaborationInnovative Thinking