Senior Data Scientist, Growth & Marketplace Analytics

Airbnb; United States; Remote; USD 200,000 - 242,000; Full time

Benefits offered by this job

Bonus eligibility

Equity opportunities

Employee Travel Credits

Job summary

Airbnb is seeking a seasoned Data Scientist leading AI-enabled product insights across Growth, Pricing and Marketplace Optimization. You will partner with product, engineering and design to drive experiments, build causal models and deliver data-driven recommendations that scale guest and host experiences.

Remote-eligible US role, with potential office days as needed. Ideal candidates have 9+ years in industry, advanced degree, strong SQL and Python/R skills, and a passion for AI,

Qualifications

• 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

Responsibilities

• Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features
• Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding
• Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs
• Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders
• Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches.
• Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations
• Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact
• Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of Airbnb’s pricing ecosystem
• 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.

Skills

Causal inference

SQL

Python or R

AI enthusiasm

Independent work

Cross-functional collaboration

Clear communication

Education

Master’s degree or PhD in a quantitative field

Tools

SQL

Python

R

Job description

Airbnb is seeking a seasoned Data Scientist leading AI-enabled product insights across Growth, Pricing and Marketplace Optimization. You will partner with product, engineering and design to drive experiments, build causal models and deliver data-driven recommendations that scale guest and host experiences.

Remote-eligible US role, with potential office days as needed. Ideal candidates have 9+ years in industry, advanced degree, strong SQL and Python/R skills, and a passion for AI,