Revenue Data Scientist (Assistant Manager)
Core
Transform portfolio-wide booking, pricing, demand, and distribution channel data into insights to drive commercial performance across the hotel portfolio.
Role type
Senior IC revenue data scientist (hospitality)
Builds
BI dashboards, forecasting models, pricing optimization models, and predictive models for booking pace and risk.
Domain
Hospitality / Revenue Management
Deliverable
production ML models | dashboards & analysis
Required skills
predictive analytics, demand forecasting, pricing elasticity modeling, data modeling, SQL, Python or R, Power BI or Tableau, RevPAR/ADR/booking pace concepts, data consolidation from PMS/CRS/RMS/CRM
Preferred skills
hospitality industry experience, market share analysis (STR data), self-service reporting practices
Technologies
Power BI, Tableau, SQL, Python, R
Responsibilities
Design and maintain BI dashboards tracking pricing, occupancy, RevPAR, ADR, pace, segmentation, and channel performance; Develop demand forecasting, pricing elasticity, and rate optimization models; Build predictive models for group and transient booking pace, cancellation risk, no-show risk, and displacement analysis; Analyze sales pipeline and account production data to identify opportunities; Consolidate data from PMS, CRS, RMS, CRM, and channel management systems; Conduct ad hoc analysis on competitive positioning, market share, promotions, and pricing strategy performance; Establish data quality standards and self-service reporting practices.
Seniority
Mid-Senior, hands-on IC