Staff Data Scientist, Pricing

Details

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

You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build pricing products for Airbnb hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, foundational tools, and insights to improve the Airbnb marketplace and product for guests and hosts.

The Difference You Will Make

You will contribute to the development of a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches. In addition, you will drive innovative pricing science through strategic initiatives, including early-stage and ambiguous 0-to-1 projects that require scientific rigor and creative business insight.

Your most impactful work will involve:

• Collaborating with product and cross-functional teams to pioneer pricing strategies and guidance for hosts, translating advanced modeling into actionable recommendations.
• Developing foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact.
• Crafting compelling data narratives to surface actionable insights, empower data-driven decision making, and influence the future direction of Airbnb’s pricing ecosystem.

Responsibilities

• Develop a deep understanding of how hosts think about pricing and navigate and re-engage with the app via analysis and research.
• Grow and maintain strong relationships with cross-functional partners in Product, Engineering and Analytics.
• Write software (Python, SQL, R) to model, simulate and measure the impact of new pricing features.
• Dive into data to understand the differential effects of pricing feature launches and turn that understanding into clear insights.
• Communicate learnings and insights to leaders and partners in a simple and lucid way.

Requirements

• Advanced degree in Computer Science, Statistics, Econometrics or related field.
• 9+ years of industry experience with a Master's degree, or 6+ years with a PhD.
• Experience with experimentation, causal observational analysis, and pricing systems/marketplaces.
• Strong coding skills in SQL and either Python or R. Comfort with developing proof-of-concept prototypes.
• Proven ability to succeed in both collaborative and independent work environments, autonomously set a roadmap for business impact.
• Strong communication skills with cross-functional partners in product, engineering, and design to enable data-driven product development with a focus on 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. See the Airbnb careers site 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. 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 [email protected] with your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

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—$240,000 USD

Offices

United States