Staff Policy Economist, Data Science/Inference

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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.

We're accepting applications for a position as a Staff Policy Economist (part of Airbnb’s Data Science organization) to ensure policy and regulatory engagements are data-driven.

The community you will join. 

The position offers an opportunity to provide meaningful insights both within Airbnb and to communities across the world.  It will be a staff-level role on the data science team, supporting Airbnb’s legal affairs team on policy and regulatory topics.  

The nature of this position requires working with many cross-functional internal teams (public policy, communications, economics, business, finance, analytics) as well as external stakeholders (experts, academics, regulators, and media).  Candidates should be able to navigate these environments, operating independently and driving their own agenda, but must also work well in a multi-stakeholder setting. A teamwork mentality and a “no task too big or too small” attitude are key.

The difference you will make.

Candidates should have a strong background in data modeling and analytics, and demonstrated skill in organizing, communicating, and presenting analysis via visualizations, dashboards, maps, and other tools.

The scope of work includes quantitative analysis of numerous outward-facing topics, including economic development/impact, taxes, housing, tourism, marketplace dynamics, trust and safety, regulation. Distillation of sometimes complex analyses into accessible and scalable resources is key.  Work output may be internal or external facing.

A Typical Day. 

• Regulatory impact analysis and modeling, as well as guidance to assigned partner teams
• Mapping and spatial analysis of data
• Using AI/ML models to derive insights from unstructured data sources
• Amazing visualizations or infographics to convey key concepts
• Collaboration with academics and experts on relevant research topics
• Converting insights into “Data Journalism” useful for our communications team
• Building prototypes, dashboards, and other tools to scale data usage across a large org

Your Expertise. 

• Advanced degree in a quantitative field
• 6+ years experience in data modeling & analysis
• Ability to perform complex strategic analysis 
• Excellent project management, communication, and teamwork skills
• Causal inference techniques (e.g. econometric regressions & quasi-experimental techniques)
• Knowledge of data tools including: R/Python, SQL, Tableau, GIS, Excel

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.  

Pay Range$192,000—$243,000 USD