Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Airbnb

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

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.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Causal InferenceBayesian ModelingStatistical InferenceStatistical Programming (Python/R)SQLModel Lifecycle ManagementFeature EngineeringExperimental DesignData AnalysisQuantitative Analysis
Soft Skills
CommunicationCollaborationProject ManagementStrategic ThinkingNarrative Development