Senior Data Scientist, Guest & Host

Airbnb

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$179,000–$210,000 / yr
Posted
19 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $194k
$140k most similar roles pay here $249k

This role pays more than 51% of similar roles. Most pay $162,000–$238,500 — the shaded band above. At the midpoint, this role pays about $194k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Senior Data Scientist, Guest & Host

As a Senior Data Scientist, Guest & Host, you will join the Guest & Host Data Science organization to develop models, measurement frameworks, and foundational data products that shape the marketplace. You will work across three potential tracks including Pricing, Product, and Marketplace Data Science to build tools for host success, guest discovery, and growth. Your daily responsibilities involve building relationships with cross-functional partners in product, design, and engineering while developing data-driven models and inference frameworks. You will analyze structured and unstructured data to provide actionable insights and communicate complex technical concepts to stakeholders. To succeed, you must possess expertise in machine learning, experimentation, and causal observational analysis. The role requires proficiency in SQL and either Python or R to model, simulate, and measure the impact of new features while building and scaling derived data assets.

What does a Data Scientist earn in Remote?

Median $217225 from 40 postings across 18 companies.

See salary data

What you'll do

  • Develop pricing guidance systems and methods to measure the impact of new pricing features.
  • Build data products and inference frameworks to drive marketplace growth and discovery.
  • Create models to understand how supply and demand affect marketplace outcomes.
  • Apply causal inference techniques to evaluate the effectiveness of new product tools.
  • Write Python, SQL, or R code to model, simulate, and measure feature impacts.
  • Analyze structured and unstructured data to generate actionable insights for strategy.
  • Communicate complex technical findings to non-technical stakeholders to drive decision-making.
  • Prototype, build, and scale derived data assets to improve guest and host experiences.

What we're looking for

  • A Bachelor's degree and 5+ years of experience are required, or a PhD and 2+ years of experience.
  • Experience with experimentation, causal observational analysis, and machine learning techniques is required.
  • Experience partnering with product, engineering, and design teams to enable data-driven development is required.
  • Ability to prototype, build, and scale derived data assets is required.
  • Strong coding skills in SQL and either Python or R are required.
  • Strong oral and written communication skills to explain complex technical concepts to non-technical audiences are required.
  • Must have valid work authorization.

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