Job Description

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:

We are seeking talented Data Scientists to join our Guest & Host Experience Data Science team. Our team is focused on creating world-class products, tools and experiences that enhance the journey for both guests and hosts on Airbnb.

The Difference You Will Make:

As a Staff Data Scientist in the Notification & Engagement space, you will be instrumental in shaping our strategy to drive user engagement and satisfaction through a cohesive user experience both on and off of the Airbnb platform.

You will collaborate with XF partners across product, engineering, design and marketing to improve and personalize the delivery of our notifications to ensure that we are delivering the right information to both guests and hosts at key moments in their journeys, and that the information we send is aligned with the users in-product experience.

A Typical Day:

• Measurement: Research and develop metrics to measure notification fatigue, and leverage causal inference techniques to estimate the cost of sending too many messages.
• Build: Partner with Engineering teams to develop and evaluate models to optimize the timing, channel and priority of external notifications (ex: emails, push notifications).
• Insights: Perform a deep-dive analysis of the effectiveness of various product experiences across marketing channels and user states, using insights to inform cross-channel personalization strategies.
• Influence: Regularly present findings and recommendations to both technical and non-technical partners to inform strategy and cross-functional roadmaps

Your Expertise:

Advanced degree (PhD or Masters) in Data Science, Econometrics, Statistics, or a related field. 9+ years of relevant industry experience (6+ with a PhD) Proven ability to effectively communicate and influence at various altitudes to both technical and non-technical stakeholders.

• Experience working with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience
• Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
• Prior experience in notifications and/or marketing is preferred

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. Click here 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 youre 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.

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