GROW YOUR CAREER WITH US At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we’re continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family! APPLY ONLINE If you’re interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered. JOB SUMMARY The Data Scientist within Revenue Management Systems will be responsible for building, scaling, and validating the predictive models, forecasting logic, and advanced analytics frameworks that power Norwegian Cruise Line's dynamic pricing and inventory management decisions. 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. Working closely with senior leadership, data engineers, and revenue managers, the Data Scientist will write production-grade SQL and Python code to design scalable forecasting algorithms and price elasticity frameworks. The ideal candidate thrives on extracting value from complex database environments (e.g., Snowflake) and converting technical model performance into clear business insights. POSITION RESPONSIBILITIES 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. QUALIFICATIONS DEGREE TYPE: Bachelor's Degree FIELD(S) OF STUDY: Business Administration, Hospitality Management, Finance, Marketing, or a related field EXPERIENCE 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—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. Experience in a role that required presenting complex outputs in clear and concise way that influenced leadership. COMPETENCIES & SKILLS 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. Data Visualization: Demonstrated capability building, hosting, and automating reports or data visualization dashboards in Power BI or Tableau. Statistical & ML Frameworks: Knowledge of regression analysis, time-series forecasting ARIMA/Prophet, optimization algorithms, and common machine learning packages (scikit-learn, XGBoost, etc.). Analytical Curiosity: A natural drive to unearth trends in chaotic, complex transaction data and translate those findings into logical business mechanics. 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. ABOUT NCLH 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. LEARN MORE ABOUT OUR COMPANY: At a Glance Brand Overview Norwegian Cruise Line Oceania Cruises Regent Seven Seas Cruises New Releases EQUAL OPPORTUNITY EMPLOYER 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. We’re thrilled you’re here to explore career opportunities with our team. If you're driven and enjoy thriving in an environment that values People Excellence, you’re in the right place! We’re incredibly proud of our team and the meaningful work we do every day. Our culture is built on Innovation, Collaboration, Transparency and Passion; our key Value Anchors that continue to drive our success and shape our future. We’re excited to learn more about your background and experiences, and to see where this journey might take us together. Please introduce yourself and let’s get connected Our team is committed to People Excellence and we make it our business to ensure that we recruit the best and the brightest talent to be a part of our growing company. If you’re ready to take your career to the next level and collaborate with our team in driving innovation, guest experiences and operational excellence, then NCLH is the place for you! Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company that operates Norwegian Cruise Line, Oceania Cruises and Regent Seven Seas Cruises. With a combined fleet of 34 ships and itineraries to approximately 700 destinations worldwide, NCLH has exciting plans to expand our business in the years ahead. We expect to add 13 additional ships across the three brands through 2036. To learn more about our brands, please visit: https://www.nclhltd.com/brands Norwegian Cruise Line https://youtu.be/_xCrwYz_7e8 Oceania Cruises https://youtu.be/E_aptk9QNvE Regent Seven Seas Cruises https://youtu.be/irx8sLBX0Sc

Data Scientist, Revenue Management Systems.

more at Nclh.

Cloud Data Engineer

Tech Manager

Domain Architecture Director - Customer & Loyalty

similar roles.

AI-Assisted Software Engineer, Web Applications

Generative AI Engineer (Clearance Required)

AI/ML Software Developer

Workable autos testing

Senior Strategic Technical Advisor (AI Strategy)

Senior Data Engineer