Staff Data Scientist- Causal Inference, Visual Understanding

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join

Photos have the largest impact on our customer journey behavior and is a key lever Hosts optimize for their listings. Our visual merchandising is how Guests first encounter our supply and form impressions over our inventory options, and they are a key attribute that drives 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 are a strategic asset 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 join a community of seasoned PhD practitioners to tackle frontline challenges at the core of our business, 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 meaningfully 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 accurate 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.

Your Expertise

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.

Your 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. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

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for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, 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.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care Of You

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$194,000

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$240,000 USD