Senior Data Scientist, Causal Inference/Payments - Contract

Details

Airbnb is a global platform connecting travelers and hosts with over 5 million hosts and billions of guest arrivals worldwide. The company supports a payments platform covering over 190 countries and 70+ currencies.

Responsibilities

• Improve the payment experience on Airbnb’s platform and develop innovative data intelligence solutions.
• Perform hypothesis generation, causal inference framework, experimentation, research design, and model development.
• Build data products and research-driven intelligence to enhance payment outcomes.
• Identify and frame research questions for actionable intelligence and data products.
• Specify and estimate models to evaluate platform intervention impacts.
• Deliver data insights to support growth and risk management.
• Collaborate cross-functionally with product, engineering, and operations teams.

A Typical Day

• Developing models to forecast marketplace metrics for strategic planning.
• Utilizing advanced causal inference techniques to quantify platform changes’ impact.
• Engaging with stakeholders for business objective alignment and data-driven solutions.
• Collaborating across teams to integrate data science insights into operations.

Requirements

• 5+ years of relevant industry experience.
• Master’s or PhD in a quantitative field.
• Strong fluency in Python or R and advanced SQL skills.
• Experience with causal inference and machine learning in multi-sided platforms.
• Proven success in collaborative environments and independent work.
• Effective communication to technical and non-technical audiences.

Benefits

• Hourly pay between $140 and $150, dependent on education, experience, and skills.
• Eligibility for bonus, equity, benefits, and Employee Travel Credits.
• Remote-eligible position within eligible US states.

Location

• United States (Remote Eligible; occasional office or offsite work possible)