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Scientist, Data

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Royal Caribbean Group
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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.

  • Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; product ionize 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 Dev Ops), 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 (scikit‑learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or Tensor Flow 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
  • Predictive Modeling (ML)

    Strong practitioner with experience in time series forecasting, price elasticity modeling, and panel data techniques.

  • Prescriptive Modeling (Optimization/OR)

    Foundational familiarity with linear and mixed‑integer programming; experience or exposure to ORTools, Gurobi, or related optimizers.

  • Model Explainability

    Working‑level proficiency with SHAP, LIME, and other model transparency frameworks.

  • Software Engineering Skills

    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.

  • Change Management & Communication

    Provides regular updates to business partners; comfortable addressing stakeholder questions and concerns.

Power Skills
  • Action Oriented
  • Communicates Effectively
  • Drives Results
  • Situational Adaptability

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.

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