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Staff Data Scientist, Marketplace Intelligence and Forecasting

Location
United States
Compensation
$200k–$242k/yr
Level
staff
Type
full time · Remote

Posted by employer 8 months ago

First seen on Joblaze 6 months ago

Last verified on the company career page 21 hours ago

Requirements

Experience
9+ years
Education
Master's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work

Joblaze insights

  • Listed about 6 months ago — first seen on Joblaze April 18, 2026. Last confirmed on Airbnb's careers page November 12, 2026.
  • Salary band is above the typical range for Data Science roles (median ~$177,500).
  • Starts above 43% of 28 comparable staff data science roles in United States that list Python we track (median $216,000 across 15 companies). See Python salary trends
  • Python appears in 75% of 44 comparable staff data science roles in United States; causal inference appears in 13.6% of 44 comparable staff data science roles in United States.

Quick facts

Is the Staff Data Scientist, Marketplace Intelligence and Forecasting role remote?
Yes — Airbnb lists this as a fully remote position.
What's the salary range?
Airbnb lists $200,000–$242,000 for this role.
How much experience is required?
At least 9 years of relevant experience for this Staff Data Scientist, Marketplace Intelligence and Forecasting role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Machine Learning, Python, R, SQL, causal inference.
What seniority level is this role?
Airbnb targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Data Scientist, Marketplace Intelligence and Forecasting role at Airbnb.

From the original posting

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

You will join the Guest and Host Data Science organization, which powers products and data-driven decisions over Airbnb’s marketplace of Guest and Hosts. You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build, launch and iterate on our product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools and insights. Our work is core to ensuring that Airbnb’s strategy roadmap stays highly relevant for our users while supporting the long-term health of our marketplace. We work directly with decision makers in engineering and product to develop data-driven frameworks, technical solutions, evaluate product changes and guide the company through rigorous measurement and modeling.

The Difference You Will Make:

Marketplace Optimization and Ranking

  • Develop models and analytic frameworks that improve listing ranking and recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions.
  • Partner closely with Machine Learning Engineers and Product to launch high-impact search improvements. Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements.
  • Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization. Your work will help enable the next generation of AI-powered search experiences at Airbnb
  • Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization.

The ideal candidate will be curious, optimistic, and relentless at leading innovation in using AI tools to scale experimentation and data-driven decisions, development of domain-relevant input metrics, and continuous understanding of tradeoffs and end-to-end guest product journeys. You will hold a high bar for customer experience and a strong desire to accurately understand user behavior and drive business growth over both Homes and non-Homes verticals.

Your expertise:

  • Causal inference expertise. Experience with machine learning techniques in a marketplace product setting
  • 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
  • Strong coding skills in SQL and either Python or R.
  • Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner’s attitude.
  • Proven ability to be driven and succeed in collaborative environments with cross-functional stakeholders and also in independent work settings. Ability to autonomously set a roadmap for business impact.
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Equal Employment Opportunity:

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range
$200,000—$242,000 USD

Standard company text repeated across Airbnb's postings is omitted here.

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