Senior Data Scientist, Airbnb
Causal Inference/Payments - Contract
$140ph—$150ph USD
More information about location
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
$140ph—$150ph USD
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 5+ 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
- We are looking for a passionate and experienced data scientist to join our Payments team to improve our platform’s payment experience, and develop innovative data intelligence & solutions for our platform’s dynamic offerings on a contract basis
- This data scientist will perform careful hypothesis generation, causal inference framework, experimentation and research design, and model development to drive critical payment strategies on our platform
- Our Data Scientists have a deep understanding of causal framework development, statistical analysis & modeling, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace
- They also have keen business sense and are able to utilize their findings to drive our data & product roadmaps
- As a Contract Senior Data Scientist, you will be responsible for building data products and research-driven intelligence to enable improved payment outcomes
- Working with stakeholders to identify and frame appropriate research questions to provide actionable intelligence/data products for the organization
- Specifying and estimating frameworks/models to determine the impact of platform interventions on marketplace outcomes
- Delivering data and insights to enable the company’s growth and risk management efforts
- Working seamlessly with cross-functional partners and exemplifying a high bar for technical excellence
- Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning
- Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes to our platform on our two-sides marketplace, informing targeted improvements and interventions
- 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
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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