NCL Bahamas

NCL Bahamas

Data Scientist, Revenue Management Systems

Miami, Florida · Senior

Sponsorship not specifiedDetected 31 days ago
PythonAlgorithmsSQLSnowflakeDatabricksCloud PlatformsMachine Learningscikit-learnData AnalysisData EngineeringData ScienceData VisualizationStatisticsA/B TestingForecastingLogisticsInventory ManagementResearchLeadershipCollaborationTime Management

About the role

  • This individual contributor role bridges statistical engineering with commercial operations-translating massive datasets, historical transaction curves, and high-intent guest behavioral data into clear, high-yield revenue recommendations.
  • The ideal candidate thrives on extracting value from complex database environments (e.g., Snowflake) and converting technical model performance into clear business insights.

Responsibilities

  • A/B Testing & Attribution: Formulate rigorous tracking and measurement frameworks, using statistical methodologies and panel data techniques to validate the exact revenue impacts of tactical promotions and digital pricing optimizations.
  • Business Intelligence Support: Architect, deploy, and maintain insightful data visualization dashboards in Power BI or Tableau to translate modeling results and performance metrics into clear stories for commercial stakeholders.
  • Cross-Functional Collaboration: Partner closely with IT and data engineering teams to operationalize prototypes into robust production systems, while communicating quantitative logic clearly to non-technical business partners.
  • Architect, deploy, and maintain insightful data visualization dashboards in Power BI or Tableau to translate modeling results and performance metrics into clear stories for commercial stakeholders.
  • A natural drive to unearth trends in chaotic, complex transaction data and translate those findings into logical business mechanics.

Requirements

  • Bachelor's Degree
  • Advanced Querying & Coding: Strong mastery of programming languages required for statistical computing, data architecture, and ETL execution, specifically Python and advanced SQL.
  • Execution & Delivery: Strong time management skills with a proven capacity to take an abstract business request and run with it from exploratory data analysis to model testing and dashboard delivery.
  • Collaborative Communicator: Ability to speak comfortably with both database administrators and non-technical business leaders, ensuring complex modeling results are easily understood.
  • At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent.
  • Strong mastery of programming languages required for statistical computing, data architecture, and ETL execution, specifically Python and advanced SQL.
  • Ability to speak comfortably with both database administrators and non-technical business leaders, ensuring complex modeling results are easily understood.
  • Business Administration, Hospitality Management, Finance, Marketing, or a related field
  • 2-5 years of progressive professional experience working as a data scientist, quantitative analyst, or modeler-ideally building systems that influence business pricing, sales, or financial forecasting.
  • Cloud Environments: Hands-on familiarity extracting and joining complex relational data within cloud data platforms like Snowflake, Databricks, or cloud equivalents.
  • Data Visualization: Demonstrated capability building, hosting, and automating reports or data visualization dashboards in Power BI or Tableau.

Nice to have

  • 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.
  • 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 (e.g., cruise lines, aviation, hospitality, logistics, or consumer tech) is highly preferred.

Benefits

  • Predictive Model Construction: Design, write, and maintain scalable algorithms and machine learning models for booking curves, price elasticity, cancellation rates, and passenger cabin upgrades (e.g., Plusgrade).

Company info

  • Regent Seven Seas Cruises
  • 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.
  • The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification.
  • They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.
  • All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
  • Brand Overview
  • Norwegian Cruise Line
  • Oceania Cruises
  • New Releases
  • 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.
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