Senior Forecasting & Pricing Scientist

Prestige Cruise Services LLC

Miami (FL)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Norwegian Cruise Line Holdings (NCLH) seeks a Senior Decision Science Developer within Revenue Management Systems to build, scale, and validate predictive models and forecasting logic for dynamic pricing and inventory decisions.

You will write production-grade SQL and Python to design scalable forecasting algorithms, work with senior leadership and data engineers, and translate complex models into actionable insights for commercial stakeholders.

Qualifications

  • Bachelor's Degree in a heavily quantitative discipline is required.
  • 3–5 years of data science, quantitative analysis, or modeler experience.
  • Experience building systems that influence pricing, sales, or forecasting.
  • Experience presenting complex outputs to leadership.

Responsibilities

  • Design, write, and maintain scalable predictive models for bookings, pricing, and upgrades.
  • Query, clean, and aggregate large datasets from Snowflake/ETL pipelines using Python and SQL.
  • Collaborate with end users to define problems and deliver practical solutions.
  • Monitor calibration thresholds in RMS to reduce forecast variance and automate workflows.
  • Develop A/B testing frameworks to validate revenue impacts of pricing and promotions.
  • Build dashboards in Power BI or Tableau to communicate results to stakeholders.
  • Partner with IT and business teams to productionize prototypes.

Skills

Advanced Querying & Coding
Cloud Environments
Data Visualization
Statistical & ML Frameworks
Analytical Curiosity

Education

Bachelor's Degree

Tools

Python
SQL
Snowflake
Databricks
Power BI
Tableau

Job description

Norwegian Cruise Line Holdings (NCLH) seeks a Senior Decision Science Developer within Revenue Management Systems to build, scale, and validate predictive models and forecasting logic for dynamic pricing and inventory decisions.

You will write production-grade SQL and Python to design scalable forecasting algorithms, work with senior leadership and data engineers, and translate complex models into actionable insights for commercial stakeholders.

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