Compensation Overview

The Community You Will Join:

Trust is at the heart of every Airbnb experience. Our aim is to establish ourselves as the most trusted platform globally. The Trust team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards.

The Difference You Will Make:

Our data science team is focused on enabling Airbnb’s mission by providing statistical insights and innovative data products that will drive improvements to our platform and empower our users around the world. As a Data Scientist working on the Content Integrity team, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operational partners as you drive ideation, scoping, iteration, and execution of data-driven modeling/ML solutions. The challenges you will tackle range across a wide range of organizational opportunities, from amplifying payment experiences to driving improved business outcomes and bolstering fraud detection capabilities.

A Typical Day: 

• Build machine learning models to detect high-risk activities, develop data mastery to uncover learnings, and formulate structured frameworks to classify and interpret our users’ behavior
• Work cross-functionally with operations and product teams to define and collect labels for model training, optimize the effectiveness of manual review, and build self-satisfiable verifications that scale.
• Develop measurement strategies to test new product features that deter and mitigate risk, while adhering to ethical guidelines
• Apply and experiment with state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems
• Regularly present work internally to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
• Publish externally and engage with the scientific community to advance Airbnb’s standing
• Devise optimization models to make optimal business decisions while minimizing risk
• Utilize Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behaviors sequences, or how can we detect anomalies effectively

Your Expertise:

• 4+ years of relevant industry and/or academic experience developing scientific frameworks, building machine learning models, and implementing advanced experimentation techniques (e.g. ML scientist, tech lead, junior faculty) 
• Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection).
• Comfortable collaborating with software engineers to understand complex systems and abstracted logs
• Proven ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution of it.
• Proven ability to communicate clearly and effectively to cross functional partners of varying technical levels.
• Industry experience building end-to-end Machine Learning system and/or building and productionizing Machine Learning models is a plus. 

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: [email protected]. 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.