Staff Data Scientist, Airbnb
Search Optimization
$192-243k
More information about location
Community marketplace for holiday accomodation
Open for applications
Community marketplace for holiday accomodation
1001+ employees
Open for applications
$192-243k
More information about location
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 setting working with Product, user-facing product, monetization, and/or 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
- You will join a team dedicated to optimizing our search product experience for Guests from search through booking. Search is pivotal to the Airbnb marketplace and is at the heart of business growth and thoughtful personalization of a high quality user experience
- Our data scientists tackle challenges at the core of the business including personalizing our Guest Experience, building algorithms to target our Merchandising, understanding and measuring impact on user engagement of our Recommendations strategies
- Collaborating with leaders across the company, you will play a key role in growing and accelerating both Stays and Airbnb Experiences businesses
- As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to optimize the Guest Experience and accelerate the growth of our marketplace. Your work will include:
- Specifying and estimating models to understand Guest preferences and intensity of their responses to different displays of personalized merchandising and search results
- Delivering data and insights to accelerate the ease of progressing Guests from search through booking
- Designing strategies to investigate, experiment and validate the impact of product and recommendation strategies in close collaboration with Product and Eng leaders across the company
- Understanding data and crafting models: You will mine various internal datasets and externally-derived knowledge to understand our users and develop models of guests behavioral responses to enable accurate and proactive decision-making around designing our product
- Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of product and recommendation strategies on the customer journey, informing targeted improvements and interventions
- Cross-functional collaboration: You will actively collaborate with teams across product and engineering to integrate data science insights into initiatives aimed at enhancing dynamic personalization and high quality guest experiences
- Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals
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
Some candidates hear
back within 2 weeks
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 values
- Champion the Mission: We’re united with our community to create a world where anyone can belong anywhere
- Be a Host: We're caring, open, and encouraging to everyone we work with
- Embrace the Adventure: We’re driven by curiosity, optimism, and the belief that every person can grow
- Be a Cereal Entrepreneur: We’re determined and creative in transforming our bold ambitions into reality
Company HQ
Showplace Square, San Francisco, CA
Articles
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
Share this job
View 99 more jobs at Airbnb