Staff Data Scientist, Airbnb
Platform, Inference/Payments
$194-240k
More information about location
Community marketplace for holiday accomodation
Posted today
Community marketplace for holiday accomodation
1001+ employees
Posted today
$194-240k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 9+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 6+ years of experience with a PhD degree
- Strong knowledge of causal inference, experimentation, and statistical modeling
- Skilled in statistical programming (Python or R) and database usage (SQL)
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
- Ability to translate complex findings and results into compelling narratives that drive impact
- Excellent project management, communication, and teamwork skills
- Payments/Risk Domain expertise is a strong plus
What the job involves
- We are looking for a passionate Staff-level Data Scientist to lead quantitative measurement efforts and bring novel scientific approaches to drive decision making across our platform’s payment experience.
- This data scientist will perform careful hypothesis generation, causal inference framework development, and model development to ideate and drive payment strategies on our platform
- Examples of projects you may work on include, development of novel metrics and frameworks that can efficiently measure outcomes (often balancing competing tradeoffs), generating intelligence on long term impact measurements and measuring the impacts of interventions on specific segments of users, and building/evaluating novel data products/models to optimize guest, host, and business outcomes
- Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts
- AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior
- Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies
- Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact
- Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights
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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