Senior Decision Science Engineer: Dynamic Pricing & Forecasting

NCL Bahamas Ltd.; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Norwegian Cruise Line Holdings Ltd. is seeking a Senior Decision Science Developer to build, scale, and validate predictive models that drive dynamic pricing and inventory management.

The role blends statistical engineering with commercial operations and requires writing production-grade SQL and Python code for scalable forecasting algorithms and price elasticity frameworks. The ideal candidate collaborates with data engineers, revenue managers, and leadership to convert complex datasets into

Qualifications

• Bachelor's degree in a quantitative field.
• 3–5 years of data science/quantitative analysis experience.
• Experience building pricing, sales, or forecasting models.
• Experience presenting complex outputs to leadership.

Responsibilities

• Design, write, and maintain scalable ML models for booking curves and price elasticity.
• Query, clean, and integrate large datasets from Snowflake/SQL/Python for modeling inputs.
• Collaborate with end users in Revenue Management to define problems and deploy solutions.
• Monitor calibration thresholds to reduce forecast variances and automate workflows.
• Design A/B tests and attribution frameworks to measure revenue impact.
• Develop BI dashboards in Power BI or Tableau to communicate results.
• Partner with IT and business teams to productionize prototypes.

Skills

Python

SQL

Data analysis

Forecasting

Education

Bachelor's Degree

Tools

Snowflake

Databricks

Power BI

Tableau

Job description

Norwegian Cruise Line Holdings Ltd. is seeking a Senior Decision Science Developer to build, scale, and validate predictive models that drive dynamic pricing and inventory management.

The role blends statistical engineering with commercial operations and requires writing production-grade SQL and Python code for scalable forecasting algorithms and price elasticity frameworks. The ideal candidate collaborates with data engineers, revenue managers, and leadership to convert complex datasets into