Data Scientist, Platform

Airbnb; United States; À distance; USD 151 000 - 175 000; Plein temps

Avantages offerts par ce poste

Bonus eligibility

Equity

Employee Travel Credits

Remote-friendly

Résumé du poste

Airbnb is seeking a Data Scientist to advance causal inference in Community Support, enabling personalized and fair experiences for hosts and guests. You will design experiments, build causal ML models, and collaborate with product, design, engineering, and analytics to inform decision-making.

The role is US-based with remote eligibility. Candidates should have a strong background in causal inference, Bayesian methods, and production ML deployment, with excellent communication and

Qualifications

• 2+ years of industry experience in quantitative analysis.
• 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 Python and/or R and SQL.
• Able to communicate complex findings clearly to diverse audiences.
• Excellent project management and collaboration skills.

Responsabilités

• Design rigorous experiments and quasi-experiments to measure causal impact of CS launches.
• Build causal ML models to optimize budget allocation and drive impact.
• Conduct causal analyses to quantify long-term effects of product changes.
• Deliver strategic insights to leadership for data-driven decisions.
• Collaborate with cross-functional partners to drive experimentation and measurement.

Connaissances

Causal inference

Bayesian modeling

Statistical inference

Python/R

SQL

Communication

Project management

Collaboration

Formation

Master's in quantitative field

PhD in relevant fields

Outils

SQL

Description du poste

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:

• 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. 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: [e-mail] .

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