Sr Decision Science Developer
Core
Build, scale, and validate predictive models and forecasting logic for dynamic pricing and inventory management in the cruise industry.
Role type
Senior IC decision science developer (revenue management)
Builds
Production-grade forecasting algorithms, price elasticity frameworks, and data visualization dashboards for revenue management systems.
Domain
Hospitality (Cruise Lines) + Predictive Analytics / Revenue Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Snowflake, Time-series forecasting (ARIMA/Prophet), Regression analysis, Machine learning (scikit-learn, XGBoost), A/B testing, Data visualization (Power BI/Tableau)
Preferred skills
Experience with perishable inventory (cruise, aviation, hospitality), Presenting complex quantitative outputs to leadership
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; Collaborate with revenue managers to define problems and co-design solutions; Monitor and fine-tune baseline calibration thresholds in RMS; Formulate tracking frameworks to validate revenue impacts of promotions; Architect and deploy data visualization dashboards for commercial stakeholders.
Seniority
Senior, hands-on IC