Staff, Advanced Analytics, Global Markets and Policy

The Global Markets & Policy Advanced Analytics team at Airbnb is seeking a seasoned data scientist to drive international growth strategy and product experience. This role will partner with Airbnb’s International Product organization and regional business teams to surface local insights, build scalable tools, and advance measurable impact on core business metrics.

About the role

As a member of the advanced analytics team, you will develop and lead initiatives focused on ensuring we have the right international growth strategy and product experience. You will lead measurement, build tools, support new product features, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

Responsibilities

• Design, execute, and analyze experiments to measure feature impact and guide product iterations
• Leverage causal methods when traditional randomized trials aren't available
• Design and build self-service analytics tools and dashboards that enable product and business teams to monitor performance, deploy the right growth levers, and act without waiting on centralized analytics cycles
• Partner with international product and regional GMs to translate local business questions into structured analytical frameworks with actionable insights
• Develop and maintain measurement infrastructure for local incentive programs, including campaign performance tracking, incrementality testing, and data-driven targeting methods
• Identify and size new growth opportunities across international markets using a combination of internal behavioral data, supply/demand signals, and external market data
• Collaborate with Product, Engineering, Marketing, and Research teams to ensure data and tooling needs are scoped into roadmaps and delivered on time

Requirements

• 8+ years of experience in product data science or analytics, ideally within a marketplace, e-commerce, or global consumer technology environment
• Expert-level SQL skills; proficiency in Python or R for data manipulation, modeling, and analysis
• Strong experimentation background—you are fluent in A/B testing, causal inference methods, and incrementality measurement, and can design and interpret experiments independently
• Demonstrated experience building self-service data products and tools—dashboards, pipelines, or decision-support apps—used by non-technical business stakeholders
• Experience working in or supporting international / multi-market business contexts; comfort navigating cross-cultural data nuances and country-level analytical complexity
• Exceptional ability to translate complex analytical findings into clear, compelling narratives for senior business audiences
• Collaborative, low-ego working style with a strong orientation toward enabling the people around you
• Familiarity with modern data stack tooling (e.g., dbt, Airflow, Tableau, Looker, or equivalent)

Qualifications

• Expert-level SQL skills; proficiency in Python or R for data manipulation, modeling, and analysis
• Strong experimentation background—you are fluent in A/B testing, causal inference methods, and incrementality measurement, and can design and interpret experiments independently
• Demonstrated experience building self-service data products and tools—dashboards, pipelines, or decision-support apps—used by non-technical business stakeholders
• Experience working in or supporting international / multi-market business contexts; comfort navigating cross-cultural data nuances and country-level analytical complexity
• Exceptional ability to translate complex analytical findings into clear, compelling narratives for senior business audiences
• Familiarity with modern data stack tooling (e.g., dbt, Airflow, Tableau, Looker, or equivalent)

Skills

• Expert-level SQL skills; proficiency in Python or R for data manipulation, modeling, and analysis
• Strong experimentation background—you are fluent in A/B testing, causal inference methods, and incrementality measurement, and can design and interpret experiments independently
• Demonstrated experience building self-service data products and tools—dashboards, pipelines, or decision-support apps—used by non-technical business stakeholders
• Experience working in or supporting international / multi-market business contexts; comfort navigating cross-cultural data nuances and country-level analytical complexity
• Exceptional ability to translate complex analytical findings into clear, compelling narratives for senior business audiences
• Familiarity with modern data stack tooling (e.g., dbt, Airflow, Tableau, Looker, or equivalent)

Benefits

• Competitive compensation package
• Health, dental, and vision insurance
• 401(k) retirement plan
• Flexible vacation policy
• Employee resource groups
• Professional development opportunities

Pay

$180,000—$221,000 USD

Schedule

Remote Eligible