Staff Data Scientist - Quality

The Community You Will Join:

Our Guest & Host organization is responsible for Airbnb’s web and native apps used by hundreds of millions of our guests and hosts around the world. Our Quality Data Science team sits within the Guest & Host organization and plays a vital role in assessing and improving quality on Airbnb. By crafting data informed strategy through causal inference, experimentation, and building state-of-the-art technology in large language models and reinforcement learning, Airbnb aims to ensure high-quality stays and experiences across our platform.

The Difference You Will Make:

You will work to define, measure, and improve the quality of trips for our hosts and guests. You will have a significant impact on developing a "universal system" that drives consistent quality across the platform and ensures a seamless and enjoyable offline experience for Airbnb users.

As a Staff Data Scientist, you will be part of a highly collaborative team with high visibility from Guest & Host and Executive leadership. This cross functional effort is focused on improving the reliability and quality of a guest’s trip, connecting guests with listings that meet their personalized needs and defining and enforcing policy standards. Together, the team you will be joining aims to have a transformative impact. 

A Typical Day: 

Airbnb leverages data science to analyze and improve various aspects of its business, including our work on Quality. As a Staff Data Scientist, you will: 

• Develop models, conduct causal analysis, and design experiments to transform Airbnb's strategy and product for Quality in collaboration with cross-functional teams.
• Develop quality measures to empower merchandising and search ranking.
• Partner with engineering teams to build Airbnb’s quality measurement foundation.
• Provide technical mentorship to other data scientists, guiding them through advanced modeling and inference tasks in the area of Quality.

Your Expertise:

• 8+ years industry experience in Data Science.
• Background in economics, statistics, and experimentation. A PhD in economics or a related field is valued.
• Deep understanding of causal inference, machine learning, predictive modeling, and data-driven product development.
• Demonstrated ability to influence and drive change in a cross-functional environment.
• Excellent communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders, and translate detailed results into a compelling narrative.
• Proven experience in developing and implementing data-driven strategies to address complex problems and improve business outcomes.
• Strategic thinker with a passion for innovation and problem-solving.

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 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.  

Offices: United States