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.

The Community You Will Join:

We are looking for talented Data Scientists to help our Data Science team develop a deep understanding of the customer’s life cycle in an effort to anticipate and respond to their needs and desires.  Our team is responsible for developing the underlying science to design, build, and deploy models that characterize, infer, and predict customer behavior.  We aim to deliver a timely, personalized, and compelling experience to our customers.

The Difference You Will Make:

You will partner cross-functionally to translate the business needs and build the capabilities to:

• Develop and utilize models of guest conversion drivers.
• Operationalize a system to detect suboptimal user paths.
• Customize the user experience to their unique needs.
• Developing a framework of conversion drivers, connecting input metrics to outputs, to inform strategies, decision-making, and track progress on team goals. 
• Providing technical mentorship to other data scientists, holding a high bar for data products architecture. 

A Typical Day: 

• Focus time – To build machine learning models, develop inference frameworks, and build prototypes and other data products to scale your work.
• Autonomy – To apply and investigate state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems
• Regularly present work internally to engineering, product, and business strategy stakeholders to iterate and generate excitement on roadmap progress
• Publish externally and engage with the scientific community to advance Airbnb’s standing

Your Expertise:

• 5+ years of relevant industry experience
• Experience with inference and machine learning techniques
• Experience in high-dimensional data modeling
• Experience with causal inference and structural models
• Experience working on a consumer search product or recommender systems
• Proven ability to succeed in both collaborative and independent work environments
• Expert in at least one programming language for data analysis (Python or R)
• Strong skills in SQL and distributed system optimization (e.g. Hadoop, Hive, Spark, Presto)
• Experience with an ETL framework like Airflow
• Experience with prototyping and writing production code
• Passion for scaling data science work

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.