Hiring: Data Scientist, Revenue Management Systems Company: Norwegian Cruise Line Holdings Ltd. Location: Miami, FL Job Posted Time: 2026-09-10 14:54:01 Target Skills & Keywords : A/B Testing, Data Pipeline, Databricks, ETL, Machine Learning, Python, SQL, Snowflake, XGBoost, scikit-learn About the job Experience: •3–5 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. •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. Required Skills: •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). •Data Pipeline & ETL Engineering: Query, clean, aggregate, and manipulate large-scale datasets from disparate corporate ecosystems using Snowflake, SQL, and Python to ensure reliable inputs for quantitative modeling. •RMS Calibration & Evaluation: Monitor, fine-tune, and analyze baseline calibration thresholds within enterprise Revenue Management Systems (RMS) to reduce forecast variances and automate routine algorithmic workflows. •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. •Advanced Querying & Coding: Strong mastery of programming languages required for statistical computing, data architecture, and ETL execution, specifically Python and advanced SQL. •Cloud Environments: Hands-on familiarity extracting and joining complex relational data within cloud data platforms like Snowflake, Databricks, or cloud equivalents. Qualifications: •Bachelor's Degree •Business Administration, Hospitality Management, Finance, Marketing, or a related field •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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!