Sr Decision Science Developer

Prestige Cruise Services LLC; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Norwegian Cruise Line Holdings (NCLH) seeks a Senior Decision Science Developer within Revenue Management Systems to build, scale, and validate predictive models and forecasting logic for dynamic pricing and inventory decisions.

You will write production-grade SQL and Python to design scalable forecasting algorithms, work with senior leadership and data engineers, and translate complex models into actionable insights for commercial stakeholders.

Qualifications

• Bachelor's Degree in a heavily quantitative discipline is required.
• 3–5 years of data science, quantitative analysis, or modeler experience.
• Experience building systems that influence pricing, sales, or forecasting.
• Experience presenting complex outputs to leadership.

Responsibilities

• Design, write, and maintain scalable predictive models for bookings, pricing, and upgrades.
• Query, clean, and aggregate large datasets from Snowflake/ETL pipelines using Python and SQL.
• Collaborate with end users to define problems and deliver practical solutions.
• Monitor calibration thresholds in RMS to reduce forecast variance and automate workflows.
• Develop A/B testing frameworks to validate revenue impacts of pricing and promotions.
• Build dashboards in Power BI or Tableau to communicate results to stakeholders.
• Partner with IT and business teams to productionize prototypes.

Skills

Advanced Querying & Coding

Cloud Environments

Data Visualization

Statistical & ML Frameworks

Analytical Curiosity

Education

Bachelor's Degree

Tools

Python

SQL

Snowflake

Databricks

Power BI

Tableau

Job description

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!

JOB SUMMARY

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.

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.
• 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 partners.

QUALIFICATIONS

DEGREE TYPE:

Bachelor's Degree

FIELD(S) OF STUDY:

Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or a heavily quantitative discipline is required

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

Technical Proficiencies

• 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.).

Core Competencies

• Analytical Curiosity: A natural drive to unearth trends in chaotic, complex transaction