Listed on Norwegian Cruise Line’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role builds machine learning models and forecasting systems that optimize cruise line pricing and inventory management using large-scale datasets. It's suited to someone with 3–5 years of quantitative modeling experience who enjoys translating complex data into revenue-driving business decisions.
Our summary, not Norwegian Cruise Line’s wording. The full posting is on their site.
Skills this role names
- A/B Testing
- Machine Learning
- Power BI
- Python
- Regression Analysis
- scikit-learn
- Snowflake
- SQL
- Statistical Analysis
- Tableau
- XGBoost
Log in to see which of these are already on your profile.
What they ask for
Required
- Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or related quantitative discipline
- 3–5 years of professional experience as a data scientist, quantitative analyst, or modeler
- Hands-on experience with large-scale datasets in enterprise cloud or on-premise environments
- Advanced Python and SQL proficiency
- Experience with cloud data platforms like Snowflake or Databricks
- Ability to build data visualization dashboards in Power BI or Tableau
- Knowledge of statistical methods, regression analysis, and machine learning frameworks
Nice to have
- Master's degree in a quantitative field
- Prior experience in dynamic commercial fields with perishable inventory such as cruise lines, aviation, hospitality, or logistics
- Background in roles requiring presentation of complex technical outputs to leadership