Manager, Data Science

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

We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations and the best people Together we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests

The Royal Caribbean Group’s AI and Analytics Team has an exciting career opportunity for a full time Manager Data Sciencereporting to the Sr Manager Data Science

The position is onsite and based in Miami Florida

The position is also not eligible for work authorization sponsorship

Position Summary:

To lead a data science team accountable for extending AI-driven commercial decisioning across Onboard Revenue and Casino at Royal Caribbean Group The role connects pricing targeted offers personalization product recommendations guest value and casino offer decisioning into measurable production outcomes It requires statistical machine learning optimization and experimentation depth combined with practical commercial judgment and the ability to translate complex guest and product signals into decisions around price offer product guest and timing

• People Leadership: Lead coach and develop data science talent across Onboard Revenue and Casino moving technical coaching business translation and day-to-day execution closer to the team while reinforcing end-to-end ownership of commercial value
• Delivery Accountability: Own reliable delivery of pricing targeted-offer personalization recommendation and casino decisioning roadmaps from problem framing through production adoption controlled measurement and ongoing operations
• Technical Oversight: Provide technical direction across price-response modeling demand forecasting propensity and uplift modeling recommender systems segmentation constrained optimization experimentation and real-time decisioning
• Portfolio Management: Prioritize work across PCP pricing promotions Targeted Offers MyCruise personalization shipboard offers and Casino based on incremental revenue potential adoption readiness dilution risk data readiness and production feasibility
• Stakeholder Management: Partner with Onboard Revenue Casino Digital E-Commerce Marketing Product AI Engineering Data Engineering and brand leaders to define decision owners business guardrails measurement plans and operating workflows
• Change Management: Embed recommendations into analyst merchandising campaign shipboard and casino operating processes; build trust through transparent logic workflow integration training and control-group measurement
• Governance & Risk: Ensure guest-level targeting offer pricing and reward decisions meet Responsible AI privacy fairness explainability legal validation and model-risk expectations with explicit controls against promotional dilution and conflicting guest contacts
• Resource Planning: Forecast capacity across model development experimentation production support campaign execution pricing coverage and stakeholder adoption so the roadmap scales without creating a senior-leader or operational bottleneck
• Talent Strategy: Build depth across pricing science causal measurement propensity and uplift modeling recommendations optimization and production decision systems while developing strong business-facing leaders

Qualifications:

• Experience: Demonstrated experience appropriate to manager scope delivering ML optimization experimentation or GenAI solutions that moved beyond analysis into production use or business decisioning Relevant experience in the assigned portfolio domain is strongly preferred
• Technical Credibility: Strong grounding in statistics machine learning optimization GenAI methods evaluation and production model lifecycle practices with the judgment to challenge assumptions and explain tradeoffs
• Strategic Leadership: Ability to translate business strategy into sequenced analytical roadmaps model portfolios adoption plans and value tracking routines aligned to data scientists product owners AI engineering data engineering and business stakeholders
• Financial Acumen: Working knowledge of value sizing ROI framing experimentation economics cloud/model operating costs and investment tradeoffs
• Communication: Clear communication skills with data scientists product owners AI engineering data engineering and business stakeholders including the ability to explain model logic uncertainty tradeoffs risks and recommended decisions in business terms
• Change Leadership: Track record of driving adoption of analytical products experimentation practices model governance and data-driven operating routines across teams with different analytical maturity levels
• Governance: Knowledge of Responsible AI privacy explainability validation auditability and ethical use of data with experience embedding governance into data science workflows
• Vendor Management: Ability to evaluate external data model providers optimization tools GenAI services and consulting support based on business value accuracy integration effort risk and long-term leverage
• Organizational Design: Understanding of how to scale data science teams intake models value governance production support stakeholder engagement and career paths as analytical demand grows

HOW HAS THE JOB CHANGED/GROWN

The role has expanded from managing individual models and analyses to leading an integrated commercial decisioning portfolio spanning pricing targeted offers personalization recommendations and Casino The manager provides the technical and delivery leadership needed to accelerate execution while enabling senior leaders to focus more deeply on the highest-value strategic decisions

INTERNAL/ EXTERNAL RELATIONSHIPS

• Internal – Onboard Revenue Casino Digital E-Commerce Marketing Product AI Engineering and Data Engineering: Translate commercial opportunities into analytical roadmaps and embed model outputs into pricing merchandising campaign digital and shipboard workflows
• Internal – Brand and Finance stakeholders: Align business guardrails test/control measurement value tracking and adoption accountability for revenue-generating decisions
• External – Data model optimization and consulting partners: Evaluate external capabilities based on incremental value accuracy integration effort responsible use risk and long-term RCG leverage

We know there's a lot to consider As you go through the application process our recruiters will be glad to provide guidance and more relevant details to answer any additional questions Thank you again for your interest in Royal Caribbean Group We'll hope to see you onboard soon!

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

Nearest Major Market: Miami