Senior Staff Data Scientist, Airbnb

Marketplace Algorithms

Salary not provided
Expert level
Remote in US
Airbnb

Community marketplace for holiday accomodation

Open for applications

Airbnb

Community marketplace for holiday accomodation

1001+ employees

B2CHospitalityB2BTravelMarketplaceSharing Economy

Open for applications

Salary not provided
Expert level
Remote in US

1001+ employees

B2CHospitalityB2BTravelMarketplaceSharing Economy

Company mission

To create a world where anyone can belong anywhere.

Role

Who you are

  • Advanced degree (PhD or Masters) in Computer Science, Data Science, Econometrics, Statistics, or a related field
  • 12+ years of relevant industry experience (9+ with a PhD), with 2+ years of domain experience in pricing or promotions
  • 4+ years of experience in a technical leadership role with applied scientists and economists (as a manager or technical lead)
  • Hands-on ‘builder’ experience in causal machine learning problems. Expert understanding of causal machine learning and reinforcement learning algorithms is a plus
  • Proven ability to communicate effectively with audiences of varying technical knowledge and seniority
  • Strategic thinker with experience laying out and delivering on 1+ year technical / product vision
  • Prior experience in multi-sided marketplaces is preferred

What the job involves

  • You will join a cross-functional team of data scientists, analysts, engineers, product managers, and designers who build pricing and data products for Airbnb hosts
  • You will guide the technical development of next-gen algorithms to improve the Airbnb marketplace for guests and hosts
  • You will lead the technical vision for next-generation host guidance, one of Airbnb’s most important growth and monetization levers
  • You will develop pricing algorithms to help millions of new and existing hosts to find prices that work for them
  • You will partner with product, engineering, and design leaders to bring these algorithms to life through product launches and continuous algorithm innovation
  • You will co-own our overall host guidance roadmap and deliver science-powered experiences to make it easy to succeed as an Airbnb host
  • Provide technical leadership for a mixed team of applied scientists, data scientists, and economists, guiding them through modeling and system design
  • Develop and refine Airbnb's pricing guidance strategy and roadmaps in collaboration with cross-functional teams
  • Design and evaluate pricing algorithms using state-of-the-art casual machine learning and/or reinforcement learning techniques
  • Build world-class, next-generation pricing and host guidance products through hands-on coaching and model development
  • Partner with product, engineering, design, and data science teams to align on goals and deliverables. Work hand-in-hand with marketplace data science and algorithms engineering teams to develop, implement, and iterate quickly
  • Uplevel the craft and velocity of everyone who works with you!

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

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

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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