Data Scientist, Revenue Management Systems
Core
Building, scaling, and validating predictive models and forecasting logic for dynamic pricing and inventory management in the cruise industry.
Role type
Senior IC data scientist (revenue management)
Builds
Production-grade forecasting algorithms, price elasticity frameworks, and data visualization dashboards for commercial stakeholders.
Domain
Hospitality (cruise lines) + Revenue Management Systems
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Snowflake, time-series forecasting (ARIMA/Prophet), regression analysis, optimization algorithms, scikit-learn, XGBoost, Power BI, Tableau
Preferred skills
Experience with perishable inventory (cruise, aviation, hospitality), Master's degree in quantitative field
Technologies
Snowflake, Databricks, Python, SQL, Power BI, Tableau, scikit-learn, XGBoost
Responsibilities
Design and maintain scalable ML models for booking curves and price elasticity; Query and clean large-scale datasets from disparate corporate ecosystems; Monitor and fine-tune baseline calibration thresholds in enterprise RMS; Formulate tracking frameworks to validate revenue impacts of promotions; Architect and deploy data visualization dashboards; Partner with IT and data engineering teams to operationalize prototypes.
Seniority
Mid-level IC (2–5 years experience)
