[Hiring] Staff Data Scientist, Guest Journey @Airbnb

The Community You Will Join:

You will join a team dedicated to optimizing our search product experience for Guests from search through booking. Search is pivotal to the Airbnb marketplace and is at the heart of business growth and thoughtful personalization of a high quality user experience. Our data scientists tackle challenges at the core of the business including personalizing our Guest Experience, building algorithms to target our Merchandising, understanding and measuring impact on user engagement of our Recommendations strategies. Collaborating with leaders across the company, you will play a key role in growing and accelerating both Stays and Airbnb Experiences businesses.

The Difference You Will Make:

As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to optimize the Guest Experience and accelerate the growth of our marketplace. Your work will include:

• Specifying and estimating models to understand Guest preferences and intensity of their responses to different displays of personalized merchandising and search results
• Delivering data and insights to accelerate the ease of progressing Guests from search through booking
• Designing strategies to investigate, experiment and validate the impact of product and recommendation strategies in close collaboration with Product and Eng leaders across the company.

A Typical Day:

• Understanding data and crafting models: You will mine various internal datasets and externally-derived knowledge to understand our users and develop models of guests behavioral responses to enable accurate and proactive decision-making around designing our product.
• Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of product and recommendation strategies on the customer journey, informing targeted improvements and interventions.
• Cross-functional collaboration: You will actively collaborate with teams across product and engineering to integrate data science insights into initiatives aimed at enhancing dynamic personalization and high quality guest experiences.
• Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.

Your Expertise:

• 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
  Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
• Experience with causal inference and machine learning techniques, ideally in a setting working with Product, user-facing product, monetization, and/or multi-sided platform setting
• Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

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: [email protected]. 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.