Pricing Data Scientist - Causal ML for Revenue (Remote)

Airbnb; United States; Remote; USD 179,000 - 210,000; Full time

Job summary

Airbnb is seeking a data scientist to contribute to pricing guidance, host and guest product data science, and marketplace data science initiatives. You will work with cross-functional teams to develop data products, write models, and apply causal inference to measure feature impacts on the marketplace.

The role emphasizes collaboration with product, design, and engineering, building scalable data assets, and communicating insights to leadership. Remote-eligible in the US.

Qualifications

• 5+ years of experience with BS/masters and 2+ years with PhD.
• Experience with experimentation, causal observational analysis, and machine learning techniques.
• Experience partnering with product, engineering, and design to enable data-driven model or product development.
• Ability to prototype, build, and scale derived data assets.
• Strong coding skills in SQL and Python or R.
• Strong oral and written communication skills.

Responsibilities

• Build data-driven products, models, and investigations to inform pricing and marketplace decisions.
• Collaborate with cross-functional teams across Product, Design, Engineering, and Analytics.
• Write software in Python, SQL, or R to model, simulate, and measure impact of new features.
• Analyze structured or unstructured data to uncover insights and craft actionable proposals.
• Communicate learnings to leaders and stakeholders to drive data-driven decisions.

Skills

Experimentation

Causal inference

ML techniques

Cross-functional collaboration

SQL

Python/R

Communication

Education

BS/masters degree

PhD

Tools

Python

SQL

R

Job description

Airbnb is seeking a data scientist to contribute to pricing guidance, host and guest product data science, and marketplace data science initiatives. You will work with cross-functional teams to develop data products, write models, and apply causal inference to measure feature impacts on the marketplace.

The role emphasizes collaboration with product, design, and engineering, building scalable data assets, and communicating insights to leadership. Remote-eligible in the US.