Causal ML Data Scientist — Remote & High-Impact

Airbnb; United States; On-site; USD 151,000 - 175,000; Full time

Job summary

Airbnb is seeking a Data Scientist with strong causal inference to join the Community Support Data Science team. You’ll partner with the tech lead on AI-powered products, service differentiation, and operations optimization to improve host and guest experiences.

The ideal candidate has hands-on experience in causal ML, Bayesian methods, and deploying models in production, with excellent communication and collaboration skills across Product, Design, Engineering, and Analytics.

Qualifications

• 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.

Responsibilities

• Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions.
• Build causal ML models to optimize Make Goods budget allocation and maximize business impact.
• Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects.
• Deliver strategic insights on quality-cost tradeoffs, empowering leadership to deliver the best possible support experience to our community.
• Inference & Measurement: Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement.
• Modeling: 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.
• Optimization: Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness.
• Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
• Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
• Empowerment: 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

Causal inference

Experimental design

Bayesian modeling

Production ML

Python

R

SQL

Clear communication

Narrative storytelling

Project management

Collaboration

Education

Master’s degree in quantitative field

PhD in relevant fields

Tools

Python

R

SQL

Job description

Airbnb is seeking a Data Scientist with strong causal inference to join the Community Support Data Science team. You’ll partner with the tech lead on AI-powered products, service differentiation, and operations optimization to improve host and guest experiences.

The ideal candidate has hands-on experience in causal ML, Bayesian methods, and deploying models in production, with excellent communication and collaboration skills across Product, Design, Engineering, and Analytics.