Data Scientist (Remote anywhere in México)

Your role

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; 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.

Your profile

• Good conversational English
• 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. 

What you will love about working here

• Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges. Be part of a company that values sustainability, inclusion, and digital equity. Contribute to building a better future for people, planet, and society.
• Growth and Learning at Every Step: Access continuous learning through internal academies, certifications, and mentorship. Explore career mobility across roles, industries, and geographies. Be part of a “school of excellence” where your skills resonate beyond the company
• Own your growth: Open access to digital learning platforms. Digital campuses on AI, Cloud, Data or Sustainability. Award winning career acceleration programs

Need to know

• Work modality: remote
• Flexible Schedules: We support flexible working hours to accommodate different lifestyles, time zones, and family responsibilities.
• Benefits: Training, certifications, and mentorship programs
• Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.

About Capgemini