Global Markets Data Scientist

About the Role

Airbnb was founded in 2007 and has since grown to over 5 million hosts welcoming over 2 billion guest arrivals globally. The Global Markets team focuses on evolving guest and host experiences to accelerate international growth, aiming to adapt the product for users in over 220 countries and regions.

The Difference You Will Make

In this role, you will collaborate closely with product managers, designers, engineers, and operations across various regions to develop and optimize products that resonate with Airbnb guests and hosts worldwide. Your work will involve impactful projects touching multiple markets and product surfaces. You will contribute to global markets products by transforming business goals into measurable outcomes, delving into customer behavior nuances, delivering statistical insights and data products, and championing technical solutions that ensure products are thoughtfully tailored to the diverse user base.

A Typical Day

• Work closely with cross-functional stakeholders to define product scopes, evaluate impact, and set roadmap priorities.
• Architect and implement rigorous measurement plans, utilizing A/B tests and quasi-experimental methods to assess product success and inform strategic decisions.
• Interpret unexpected outcomes, identify bias in experiments, and drive solutions to ensure measurement quality.
• Conduct in-depth research into customer behaviors and preferences across markets to uncover opportunities for international business growth.
• Develop scalable frameworks, models, and systems to enable product features to be more refined and tailored to the needs of local markets.
• Actively present data findings and ideas to stakeholders at different levels, and translate proposals into actions and tangible results for the business and customers.

Your Expertise

• 5+ years of industry experience in a fast-paced tech environment with a BS/Master’s in a technical field related to mathematics, computer science, statistics, economics, machine learning, or 2+ years of relevant experience with a PhD in similar fields.
• Strong knowledge of causal inference and experimentation.
• Expertise in SQL, Python or R.
• Ability to solve business problems using appropriate methods and models.
• Strong stakeholder communication skills and the ability to translate complex analyses into compelling narratives and business actions.
• Working experience on a marketplace at a global scale is a plus.