
Airbnb
Data Scientist - Inference, Community Support
Remote (Worldwide)RemotePosted Today$151,000 – $175,000
Full TimeSeniorRemote
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Job Description
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 co
Key Highlights
- 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.
Qualifications
Required 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.
Skills & Technologies
PythonSQL
About the Company
Airbnb
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Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$151,000 – $175,000
Location
Remote (Worldwide)
Work Mode
Remote
Posted
Today