Airbnb Senior Data Scientist Causal Inference/Payments – Contract 

United States 

300559310

The Difference You Will Make:

As a Contract Senior Data Scientist, you will be responsible for building data products and research-driven intelligence to enable improved payment outcomes. Your work will include:

• Working with stakeholders to identify and frame appropriate research questions to provide actionable intelligence/data products for the organization.
• Specifying and estimating frameworks/models to determine the impact of platform interventions on marketplace outcomes.
• Delivering data and insights to enable the company’s growth and risk management efforts.
• Working seamlessly with cross-functional partners and exemplifying a high bar for technical excellence.

A Typical Day:

• Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
• Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes to our platform on our two-sides marketplace, informing targeted improvements and interventions.
• Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
• Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.

Your Expertise:

• 5+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
• Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
• Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting.
• Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments.
• Proven ability to communicate clearly and effectively to audiences of varying technical levels.

Offices: United States