Airbnb

About Airbnb

The community marketplace for unique travel stays

🏢 Tech👥 1001+ employees📅 Founded 2008📍 Showplace Square, San Francisco, CA💰 $3.8b4.2
B2CHospitalityB2BTravelMarketplaceSharing Economy

Key Highlights

  • Over 4 million registered hosts worldwide
  • Facilitated over 1 billion bookings since inception
  • $3.8 billion raised in Series F funding
  • Headquartered in San Francisco, CA

Airbnb, headquartered in Showplace Square, San Francisco, CA, has transformed the hospitality industry with its platform that connects over 4 million hosts to travelers. Since its inception, Airbnb has facilitated over a billion bookings, disrupting traditional accommodation models by allowing indiv...

🎁 Benefits

Airbnb offers generous parental and family leave, paid volunteer time, and an annual travel and experiences credit. Employees enjoy health food and sn...

🌟 Culture

Airbnb's culture emphasizes community and belonging, reflecting its mission to create a world where anyone can belong anywhere. The company values fle...

Airbnb

Data Scientist Senior

AirbnbRemote - Remote

Posted 2w ago🏠 RemoteSeniorData Scientist💰 $194,000 - $240,000 / yearly
Apply Now →

Skills & Technologies

Overview

Airbnb is hiring a Staff Data Scientist for their Listing Understanding team to enhance product experiences through data analysis and machine learning. You'll leverage Computer Vision and multimodal approaches to improve guest and host interactions. This role requires expertise in prototyping and implementing ML models.

Job Description

Who you are

You have extensive experience in data science, particularly in the application of machine learning and computer vision techniques. Your background includes hands-on work with prototyping and evaluating ML models, ensuring they are effective and safe for deployment. You possess a deep understanding of guest and host needs, which you leverage to guide technological and business roadmaps. You are comfortable working cross-functionally with tech, product, and design teams to develop and execute strategies that enhance user experiences.

You are skilled in data analysis, particularly in measuring the causal impact of listing understanding on business outcomes. Your ability to communicate complex data insights to non-technical stakeholders is a key strength, allowing you to influence product decisions effectively. You thrive in collaborative environments and are passionate about using data to drive meaningful improvements in user experiences.

Desirable

Experience with multimodal approaches in data science is a plus, as is familiarity with the travel and hospitality industry. You are proactive in staying updated with the latest advancements in machine learning and computer vision, and you enjoy mentoring junior team members to foster a culture of learning and growth.

What you'll do

In this role, you will lead initiatives focused on understanding listing attributes through data science. You will work closely with the Listing Understanding team to develop a comprehensive understanding of how photos and other listing attributes impact guest experiences. Your responsibilities will include recommending and assessing computer vision techniques that can be integrated into product features.

You will own the data analysis process, connecting listing understanding to business impact and ensuring that the insights derived from data are actionable. Your role will involve collaborating with various teams to ensure that the technologies deployed are aligned with user needs and business goals. You will also be responsible for prototyping and implementing machine learning models that enhance the understanding of listings.

What we offer

Airbnb offers a competitive salary range of $194,000—$240,000 USD, along with potential bonuses and equity. You will have the opportunity to work in a remote environment, allowing for flexibility in your work-life balance. The company values innovation and encourages you to apply even if your experience doesn't match every requirement. Join us in making travel more accessible and enjoyable for everyone.

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