Sr Decision Science Developer

About the role

The Senior Decision Science Developer 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 - shaping outputs from powerful models and massive datasets into commercially intelligent decisions that drive value. Working closely with senior leadership, data engineers, and revenue managers, the role 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 datasets and models that lead to actionable insights. The candidate will collaborate with the business to execute in ways that end users can use and understand.

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.
• Problem Definition and Solution co-design with end users: proactively engage with end-users in Revenue Management to understand RMS gaps & needs and develop complimentary or alternate solutions that are actionable and efficient.
• 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 business teams to operationalize prototypes into robust production systems and communicate quantitative logic clearly to non-technical business