Airbnb

Airbnb

Posted via Greenhouse

Data Scientist - Inference, Community Support

Posted Aug 5, 2026

Role at a glance

Salary
$151K – $175K/yr
Location
Remote - US United States
Work arrangement
Remote
Employment
Full-time
Experience
2+ years of industry experience in a quantitative analysis role
Education
a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields

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Role Summary

AI-generated

This Data Scientist will join Airbnb's Community Support Data Science team and focus on causal inference for AI-powered products, service experiences, and operations optimization. The role partners with engineering, product, design, operations, and analytics teams to measure interventions, improve support effectiveness, and inform leadership decisions.

What You'll Do

  • Design and implement causal inference frameworks and statistical models to measure intervention impact and evaluate system performance.
  • Build, evaluate, and iterate on causal machine learning models through feature engineering and production deployment.
  • Develop frameworks to analyze tradeoffs among accuracy, coverage, user experience, and operational cost.
  • Collaborate with Product, Design, Engineering, Operations, and Analytics partners to drive collaboration and innovation.
  • Communicate findings to leaders and stakeholders to support informed, data-driven decision-making.
  • Scale and evolve data science capabilities within the Community Support domain.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Strong knowledge of causal inference, experimental design, Bayesian modeling, and statistical inference; hands-on experience building and deploying statistical or ML models in production environments; statistical programming in Python/R and database usage with SQL; clear communication, project management, and collaboration skills; ability to translate complex findings into compelling narratives.

Required

  • 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

Original job description

Content provided by the employer

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.

As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced causal inference analysis for Community Support.

The Difference You Will Make:

We're looking for a motivated and talented Data Scientist with strong causal inference expertise to join the Community Support Data Science team. You'll partner closely with the area's tech lead on high-impact projects spanning AI-powered products, differentiated service, and operations optimization.

The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity to drive clarity in complex problem spaces. You’ll work on high-impact projects like:

  • 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.

A Typical Day: 

  • 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.

Your Expertise:

  • 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.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range
$151,000$175,000 USD
Airbnb

About the company

Airbnb

Large Enterprise

Airbnb is a leading online marketplace that connects travelers with hosts offering unique accommodations around the world. Founded in 2008, the platform has revolutionized the hospitality industry by enabling homeowners to rent out their spaces, ranging from spare rooms to entire homes, to guests seeking a more personalized and local travel experience. With a commitment to community and diversity, Airbnb provides an extensive array of listings while maintaining a focus on safety and trust for both hosts and guests. The company also offers various experiences and services, enhancing the overall travel journey for users across the globe.