Data Scientist

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

The Royal Caribbean Group´s AI and Analytics Team has an exciting career opportunity for a full-time Scientist, Data reporting to the Senior Manager, Data Analytics & AI

The position is onsite and based in Miami, Florida.

The position is also not eligible for work authorization sponsorship.

Position Summary:

We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role is a bridge between tactical execution and long-term strategic planning, requiring a visionary who can work independently and collaboratively with data analytics professionals across and outside Royal Caribbean Group to deliver transformative AI/ML solutions. The Data Scientist will frequently interface with senior stakeholders, providing thought leadership and regular updates on key analytics initiatives. This position demands top-tier technical expertise in machine learning & generative AI, combined with exceptional written and oral communication skills. The ideal candidate is a proven leader who pairs expert-level modeling and software engineering skills with outstanding stakeholder management and strategic program leadership.

Essential Responsibilities:

• Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks.
• Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning.
• Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage).
• Design and execute A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact.
• Apply SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners.
• Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns.
• Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives.

Qualifications / Knowledge / Skills:

• 2–4 years of hands-on Data Science experience delivering production-grade ML solutions.
• Proficiency in Python (scikitlearn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus.
• Strong understanding of experimental design, statistical testing, and causal inference basics.
• Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross-functional communication.

Expectations by Dimension

• PredictiveModeling(ML)
• Strong practitioner with experience in time series forecasting, price elasticity modeling, and panel data techniques.
• PrescriptiveModeling(Optimization/OR)
• Foundational familiarity with linear and mixed-integer programming; experience or exposure to ORTools, Gurobi, or related optimizers.
• ModelExplainability
• Working-level proficiency with SHAP, LIME, and other model transparency frameworks.
• SoftwareEngineeringSkills
• Writes modular, maintainable code; participates in code reviews; implements unit and integration tests.
• A/Testing&Experimentation
• Designs experiments with senior review; able to calculate significance, power, and interpret test outcomes.
• ChangeManagement&Communication
• Provides regular updates to business partners; comfortable addressing stakeholder questions and concerns