Full-Time

Sr. Staff Data Scientist

Marketplace Algorithms

Confirmed live in the last 24 hours

Airbnb

Airbnb

10,001+ employees

Online marketplace for lodging and experiences

Government & Public Sector
Real Estate

Compensation Overview

$224k - $293.5kAnnually

+ Bonus + Equity + Benefits + Employee Travel Credits

Senior, Expert

Company Historically Provides H1B Sponsorship

United States

Must live in a state where Airbnb, Inc. has a registered entity; occasional in-office work may be required.

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Data Science
Requirements
  • 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.
Responsibilities
  • 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!

Airbnb operates an online marketplace that connects travelers with hosts offering lodging and unique tourism experiences. The platform allows hosts to list their properties, which can range from single rooms to entire homes, enabling guests to book accommodations that provide a more authentic local experience. Airbnb earns revenue through a commission system, taking a percentage from each booking made on its platform. With a presence in nearly every country and over 5 million hosts, Airbnb has facilitated more than 1.5 billion guest arrivals. Additionally, the platform offers various local experiences organized by hosts, enriching the travel experience for guests.

Company Stage

IPO

Total Funding

$3.7B

Headquarters

San Francisco, California

Founded

2007

Growth & Insights
Headcount

6 month growth

17%

1 year growth

40%

2 year growth

77%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with UNESCO and Surf Life Saving Australia boost Airbnb's brand image.
  • AI-driven personalization enhances user experience and platform engagement.
  • Cultural Ambassador Program in Bali attracts culturally inclined travelers and hosts.

What critics are saying

  • Legal challenges in Europe over unlicensed accommodations could lead to fines.
  • Cybercriminals using Airbnb for fraud highlight potential platform security issues.
  • Expansion into AI and data collection may raise privacy and regulatory concerns.

What makes Airbnb unique

  • Airbnb offers unique stays, enhancing travel experiences beyond traditional hotels.
  • The platform connects hosts and guests globally, facilitating diverse cultural exchanges.
  • Airbnb's commission-based model incentivizes hosts to list unique properties.

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Benefits

Comprehensive health plans

Paid volunteer time

Healthy food and snacks

Generous parental and family leave

Learning and development

Annual travel and experiences credit