Staff Data Scientist – Inference, Quality, and Community

Title: Staff Data Scientist – Inference, Quality & Community

Location: United States

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.

Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 40,000 handcrafted activities, all powered by local hosts. With more than half a billion guest arrivals to date, and accessible in 62 languages across 220 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.

The Community you will join:

Airbnb is a global platform that connects travelers and hosts from over 81,000 cities. Our mission is to enable a world where anyone can belong anywhere. To ensure the success of our mission we need to build a platform where guests and hosts can trust one another and trust Airbnb to be a reliable, high quality platform for exceptional travel experiences.

The difference you will make:

The Quality & Community Data Science team works to understand and measure the quality of travel experiences, guests, and hosts, design levers to improve quality, and measure and drive strong relationships in our marketplace.

A typical day:

• We are looking for a passionate data scientist to work centrally within the team, with an initial focus on:
• Creating a scientific framework to evaluate and rank investment in new signals of trip quality.
• Identifying greatest opportunities for new quality signals and lead their development.
• Partnering cross-functionally with engineering, product, and user research to inform data-driven product development, as well as with other data science teams to drive a common understanding of quality measurement.
• Providing technical mentorship to other data scientists, ensuring a high level of scientific rigor.

Your expertise:

• 5+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
• Expert in at least one programming language for data analysis (Python or R) and SQL
• Experience with causal inference and machine learning techniques
• Experience with developing novel model-based metrics
• Proven ability to succeed in both collaborative and independent work environments
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

Preferred unique skill-sets:

• Experience working on a consumer product or marketplace, especially related to quality
• Experience in working with unstructured and third party data
• Experience with an ETL framework like Airflow
• Experience with technical mentorship of other data scientists

How we’ll take care of you:

Our job titles may span more than one career level. The starting base pay for this role is between $180,000 and $245,000. 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.

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. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously evolving and being updated, 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.