Data Scientist – Inference, Community Support

Airbnb

Data Scientist focusing on causal inference and enhancing customer support through data-driven insights at Airbnb. Collaborating with engineers and product managers to implement advanced analytics and optimize services.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in causal inference, Bayesian modeling, and statistical programming, with a strong ability to communicate complex findings effectively. Proven experience in building and deploying ML models in production environments while collaborating with cross-functional teams to drive data-driven decision-making.

Highest-signal resume keywords

Causal InferenceBayesian ModelingStatistical Programming (Python/R)Model DeploymentProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceBayesian ModelingStatistical InferenceStatistical Programming (Python/R)SQLModel Lifecycle ManagementFeature EngineeringExperimental DesignData AnalysisQuantitative Analysis

Soft Skills

CommunicationCollaborationProject ManagementStrategic ThinkingNarrative Development

Industry Keywords

Quantitative AnalysisData ScienceIntervention Impact MeasurementCross-Functional CollaborationData-Driven Decision-Making

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement.
Build, evaluate and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle from feature engineering to production deployment.
Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness.
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.

Requirements

What you’ll need

2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields.
Strong knowledge of causal inference and experimental design.
Strong knowledge of Bayesian modeling and statistical inference.
Hands-on experience building and deploying statistical or ML models in production environments.
Skilled in statistical programming (Python/R) and database usage (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.

Benefits

Comp & perks

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.