Position Details
About this role
This role involves developing and maintaining forecasting systems for Airbnb's revenue and cancellations, utilizing statistical and machine learning techniques to support business decision-making.
Key Responsibilities
- Own forecasting systems
- Develop models for revenue and cancellations
- Automate forecasting pipelines
- Analyze complex time series data
- Collaborate with finance and product teams
Technical Overview
The position requires expertise in time series analysis, statistical modeling, data pipelines, and Python programming to build scalable revenue forecasting models and automation systems.
Ideal Candidate
The ideal candidate is a senior data scientist with extensive experience in financial and revenue forecasting, skilled in time series analysis, statistical modeling, and Python. They are self-directed, collaborative, and capable of building scalable forecasting systems.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in forecasting or time series analysis, No proficiency in Python or SQL, Insufficient experience with financial modeling, Unwillingness to work remotely
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