Data Scientist (Remote anywhere in México)

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

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

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.