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About the Role

The Data Scientist within Revenue Management Systems will build, scale, and validate predictive models, forecasting logic, and advanced analytics frameworks to support dynamic pricing and inventory management decisions. This role translates complex data into high-yield revenue recommendations, working closely with leadership, data engineers, and revenue managers.

Responsibilities

• Design, write, and maintain scalable algorithms and machine learning models for booking curves, price elasticity, cancellation rates, and passenger cabin upgrades.
• Query, clean, aggregate, and manipulate large-scale datasets using Snowflake, SQL, and Python for quantitative modeling.
• Monitor, fine-tune, and analyze baseline calibration thresholds within enterprise Revenue Management Systems (RMS) to reduce forecast variances.
• Formulate tracking and measurement frameworks using statistical methodologies to validate revenue impacts of promotions and pricing optimizations.
• Architect, deploy, and maintain data visualization dashboards in Power BI or Tableau for commercial stakeholders.
• Partner with IT and data engineering teams to operationalize prototypes into production systems.
• Communicate quantitative logic clearly to non-technical business partners.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or a heavily quantitative discipline is required.
• Master’s degree (MS) in a quantitative field is a plus but not required with equivalent professional experience.
• 3–5 years of progressive professional experience working as a data scientist, quantitative analyst, or modeler.
• Experience building systems that influence business pricing, sales, or financial forecasting.
• Hands-on experience manipulating, structuring, and scrubbing large, raw datasets within enterprise cloud-based or local architectures.
• Prior experience working in dynamic commercial fields with highly perishable inventory is highly preferred.
• Experience in a role that required presenting complex outputs in clear and concise way that influenced leadership.

Skills

• Python
• Advanced SQL
• Snowflake
• Databricks
• Power BI
• Tableau
• Regression analysis
• Time-series forecasting ARIMA/Prophet
• Optimization algorithms
• scikit-learn
• XGBoost
• Analytical Curiosity
• Execution & Delivery
• Collaborative Communicator

Experience Level

• 3-5 years

Education Level

• Bachelor's Degree
• Master's Degree

About the Company

• Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line®, Oceania Cruises® and Regent Seven Seas Cruises® brands.
• The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.

Equal Opportunity

• It is Norwegian Cruise Line Holding’s policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.