Senior Manager, Data Science - Trust

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.

Role overview

You will lead the Fraud and Content Understanding team within Airbnb’s Trust Data Science group, managing data scientists and applied scientists focused on building and preserving trust for guests, hosts, and the marketplace. You will partner closely with product, engineering, and operations to stop those who do not comply with Airbnb’s fraud and abuse policies, while building trust with compliant users. The team leverages AI and machine learning to understand guest and host behaviors, rich content, fraud and abuse vectors, and the actions required to build trust.

Responsibilities

• Set the strategic direction and organizational vision for how Airbnb uses science to stop fraud and abuse; cascade goals and align roadmaps to long-term strategic objectives.
• Build and scale automated systems for content understanding and intelligence across text, image, and audio content.
• Partner with engineering teams to operationalize sophisticated detection and actioning models into production systems while maintaining high technical quality standards.
• Attract, retain, and develop senior individual contributors and technical leaders; build Airbnb’s applied science and AI communities.
• Present complex analytical findings and strategic recommendations to executive leadership; influence cross-functionally and contribute to papers and technical forums in the fraud and trust space.

Requirements

• Advanced degree (PhD preferred) in Economics, Statistics, Computer Science, or related quantitative field with 12+ years of relevant industry experience (9+ years with PhD).
• 4+ years of people management experience leading high-performing teams of data scientists, applied scientists, economists, or applied researchers, with demonstrated ability to attract, retain, and grow senior individual contributors.
• Deep expertise in machine learning methodologies and their application to trust, fraud, and/or safety.
• Hands-on experience building machine learning systems at scale, particularly related to natural language and/or computer vision.
• Experience with trust and safety in marketplace, platform, or multi-sided business environments.
• Proven track record of setting organizational vision and strategy, translating complex modeling insights into business strategy, and driving cross-functional initiatives that deliver measurable impact across large organizations with a 1+ year strategic horizon.
• Experience managing teams through long-term, high-ambiguity projects and making strategic pivots when necessary.
• Exceptional communication and leadership skills with the ability to influence across Data Science and cross-functionally at the company level.

Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. You must live in a state where Airbnb, Inc. has a registered entity (see Airbnb for excluded states). If employed by another Airbnb entity, your recruiter will inform you of eligible states.

Compensation & Benefits

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

$224,000 — $280,000 USD

Inclusion & Accessibility

Airbnb is committed to working with the broadest talent pool possible. All qualified individuals are encouraged to apply. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, contact [email protected] with your full name, the role you’re applying for, and the accommodation necessary to assist you with the recruiting process.