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Role Description

The Community You Will Join:

• Photos have the largest impact on our customer journey behavior and are a key lever Hosts optimize for their listings.
• Visual merchandising is how Guests first encounter our supply and form impressions over our inventory options.
• Photos drive comparison and evaluation of listings, site navigation, confidence to book, and expectation setting over trip expectations.
• Our industry-leading photo databases provide our marketplace with listing intelligence that can help guide Hosts towards fulfilling their goals and growing their expertise at better hosting.
• You will join a team dedicated to driving innovation and powering the visual merchandising strategy over our marketplace by unlocking deep data-driven understanding and storytelling.
• As a member of the Customer Journey Data Science team, you will tackle frontline challenges involving visual recommendations, driving host success, identifying guest decision making, causal ML, computer vision, measurement, and experimentation.

The Difference You Will Make:

• As a Staff Data Scientist, you will ensure we are deploying technologies for extracting photo insights and surfacing visual recommendations that improve the guest and host experience.
• You will be responsible for building data products, inference frameworks, and intelligence to ensure that our end-to-end customer journey is effective.
• Your work will include:
  • Specifying and estimating models to determine the behavioral response and impact of visual assets.
  • Delivering data and insights to enable and create impactful visual merchandising strategies.
  • Development and implementing experiment-based measurement and offline evaluation frameworks for computer vision and multi-modal merchandising, with a holistic assessment over the end-to-end user journey.

A Typical Day:

• Prototype models: You will develop models to accurately extract visual insights, forecast the behavior of site navigation in our marketplace, and understand how users respond to our visual merchandising.
• Advanced causal inference: You will explore cutting-edge causal inference techniques to quantify the impact of our photos strategy on the marketplace, informing targeted improvements and intervention.
• Cross-functional collaboration: You will collaborate closely with product, engineering, and operations to integrate data science outputs into codebases and on-the-ground workstreams aimed at improving our customer experience, driving business growth, and delivering our long-term vision strategy.

Qualifications

• 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field.
• Strong fluency in Python for hands-on IC work and advanced data analysis in SQL at scale.
• Experience with causal inference and machine learning techniques, ideally in a marketplace setting.
• Preferred experience in recommendations, computer vision, information retrieval, or merchandising domains.
• Strong interest and agility with related AI, LLM, and topic modeling tools.
• Comfort to collaborate with software engineers to understand complex systems and abstracted logs.
• Proven ability to communicate clearly and effectively to audiences of varying technical levels.
• Demonstrated ability to create solutions with a product-oriented mindset over the user experience.

Location

• This position is US - Remote Eligible.
• The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
• You must live in a state where Airbnb, Inc. has a registered entity.
• Click here for the up-to-date list of excluded states.

Our Commitment To Inclusion & Belonging

• Airbnb is committed to working with the broadest talent pool possible.
• Diverse ideas foster innovation and engagement, allowing us to attract creatively-led people and develop the best products, services, and solutions.
• All qualified individuals are encouraged to apply.
• We strive to provide a disability inclusive application and interview process.
• If you are a candidate with a disability and require reasonable accommodation, please contact us at: reasonableaccommodations@airbnb.com.
• Please include your full name, the role you’re applying for, and the accommodation necessary to assist you with the recruiting process.