# Data Scientist

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Science
**Salary:** $151k – $175k/yr
**Experience:** 2+ years
**Skills:** Causal Inference, experimental design, bayesian modeling, statistical inference, causal ml, Python, R, SQL, Machine Learning, A/B Testing, quasi-experiments
**Posted:** 2026-07-15

> Data Scientist on Airbnb's Community Support team, designing causal inference experiments, building causal ML models for budget optimization, and delivering insights on product impact and quality-cost tradeoffs to improve host and guest experiences.

## Job Description

## Responsibilities
- Design rigorous experiments and 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.
- 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.
- Collaborate cross-functionally with 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
- 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.

## Nice-to-Haves
- Expertise in optimization and tradeoff analysis between competing objectives.

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