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Data Scientist
Ref No.: 26-00094
Location: Miami, Florida
Position Type:Contract
Job Title: Data Scientist – Pricing Automation & Optimization
Work site: Miami, FL - onsite
Contract Role

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 modelling 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 (scikit-learn, 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
Predictive Modeling (ML) Strong practitioner with experience in time series forecasting, price elasticity modeling, and panel data techniques.
Prescriptive Modelling (Optimization / OR) Foundational familiarity with linear and mixed-integer programming; experience or exposure to OR-Tools, 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/B 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.