Staff Data Scientist, Airbnb
Marketplace Optimization and Ranking
$194-240k
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
$194-240k
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
- Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
- Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
What the job involves
- Develop models and analytical frameworks that improve listing ranking and recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions
- Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements. You will ensure that product decisions are grounded in rigorous measurement and causal inference
- Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization. Your work will help enable the next generation of AI-powered search experiences at Airbnb
- Partner closely with Relevance Engineering and Product to launch high-impact search improvements
- Set technical direction for modeling and experimentation in Search and Personalization
- Mentor other data scientists and raise the bar for building durable data products
- Connect marketplace thinking, modeling, and experimentation across teams to guide product strategy
- Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success
- Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals
- 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
Our take
When Airbnb was originally founded, the product helped customers book air mattresses on people's apartment floors. Since then, Airbnb has had over a billion customers hosted through its platform. With more than 4 million registered hosts worldwide, it has grown into a major player in the hospitality sector.
Airbnb has been successful in disrupting the traditional holiday lettings sector. Before it existed accommodation was limited to hotels and bed and breakfasts, but Airbnb has mainstreamed the idea of renting out spare rooms or even entire homes. It has created a new sector of hosts purchasing properties to rent out on the platform and provides a level of flexibility and a range of offerings not previously possible for travelers.
Perhaps a victim of its own success, by 2022 supply of Airbnb-listed properties began to outstrip demand in some markets, as hosts overestimated the appetite for domestic travel. However, the company is still posting strong financials and has unveiled new tools to support its hosts in a tougher rental market. With a healthy bottom line and a huge user base, Airbnb is very likely to overcome the current market turbulence and continue its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2020
$500m
GROWTH EQUITY VC
Mar 2017
$447.8m
SERIES F
Total funding: $3.8bn
Company benefits
- Paid volunteer time
- Health food and snacks
- Generous parental and family leave
- Learning and development
- Annual travel and experiences credit
Company HQ
Showplace Square, San Francisco, CA
Leadership
Brian Chesky
(Co-Founder & CEO)Previously an Industrial Designer, studying at Rhode Island School of Design.
Nathan Blecharczyk
(Co-Founder & CSO)Studied Computer Science at Harvard, and had around 4 years of professional Software Engineering experience before founding Airbnb, including interning at Microsoft.
Joe Gebbia
(Co-Founder)Also studied Industrial Design at Rhode Island, and previously founded various design-related startups
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