Staff Data Scientist (Marketplace Intelligence and Forecasting)
- United States
- Lead/Staff
- Posted
Join Airbnb as a Staff Data Scientist in the Marketplace Intelligence and Forecasting team. You will work collaboratively with data scientists, analysts, engineers, product managers, and designers to drive growth and sophistication through experimentation, modeling, and insights. Your work will directly impact Airbnb's strategy and the long-term health of the marketplace. You will develop models and analytic frameworks, partner with Machine Learning Engineers and Product, build scalable data products, and connect marketplace thinking across teams.
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
USD 200,000 - 242,000
Responsibilities
- Développer des modèles et des cadres analytiques pour améliorer le classement des annonces et les recommandations.
- Collaborer étroitement avec les ingénieurs en apprentissage automatique et les équipes produit pour lancer des améliorations de recherche à fort impact.
- Construire des produits de données évolutifs et des pipelines de modélisation qui alimentent les fonctionnalités de classement, la compréhension des requêtes et la personnalisation.
- 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
Requirements
- Strong coding skills in SQL and either Python or R
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
- 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
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
- Causal inference expertise. Experience with machine learning techniques in a marketplace product setting
- Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner’s attitude
