Staff Data Scientist, Guest & Host - Careers

Airbnb

Remote Actively hiring Posted today Verified listing
Remote (San Francisco, CA, US) Posted 1 day ago $200,000$242,000 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $221k
$94k most similar roles pay here $258k

This role pays more than 82% of similar roles. Most pay $126,800–$205,500 — the shaded band above. At the midpoint, this role pays about $221k versus about $166k 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 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

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View all roles at Airbnb

At a glance

TL;DR

As a Senior Data Scientist in Airbnb’s Guest and Host Data Science team, you will collaborate with data scientists, engineers, product managers, and designers to build and iterate on the company's growth roadmap. In this role, you will focus on driving growth through initiatives like building and measuring customer-facing features, optimizing booking rates, and developing observational causal inference models to understand guest intent. You will also champion AI-enabled product understanding by crafting data-driven frameworks and compelling narratives for senior leadership. Additionally, you may specialize in pricing strategies or marketplace optimization, where you’ll develop foundational models, experimental approaches, and scalable data products that enhance listing ranking and recommendation systems. Ideal candidates have 9+ years of industry experience with a Master’s degree or PhD in a quantitative field, strong skills in SQL and Python/R, and expertise in causal inference and machine learning within marketplaces.

What you'll do

  • Develop observational causal inference models to understand guest intent and measure impact.
  • Build data products to optimize 0-to-1 customer-facing features for growth initiatives.
  • Craft compelling data narratives to guide recommendations and roadmaps with senior leaders.
  • Pioneer pricing strategies by developing experimental methods to measure feature impacts.
  • Design experiments and evaluation frameworks to improve listing ranking and recommendation models.
  • Develop scalable data products and modeling pipelines that power AI-driven search experiences.

What we're looking for

  • 9+ years of industry experience in data science or related field
  • Master’s degree or PhD in quantitative disciplines like statistics, computer science
  • Expertise in causal inference and machine learning techniques for marketplaces
  • Proficient in SQL and Python/R for data analysis and modeling
  • Ability to build proof-of-concept prototypes and drive innovation with AI tools
  • Strong communication skills across technical and non-technical audiences
  • Experience working independently and collaboratively with cross-functional teams

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