1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Hyatt At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest-growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues. As we continue to grow, we never lose sight of what’s most important: People. We turn trips into journeys, encounters into experiences, and jobs into careers. Responsibilities Translate business problems in a variety of business areas into well-defined data science projects, ensuring alignment with business goals, scope, and defined KPIs. Design, implement, and optimize advanced machine learning and optimization models to address complex business challenges. Collaborate with cross-functional teams, including engineering, data, and business stakeholders, ensuring clear communication, seamless integration of data-driven solutions. Monitor model performance in production, refining algorithms and processes to adapt to real-world data and evolving business needs. Create and maintain detailed documentation for models, methodologies, and workflows to support team knowledge-sharing. Conduct testing and validation of models to ensure robustness, scalability, and reliability in production environments. Present data-driven insights, findings, and product outcomes to stakeholders in a clear, actionable manner. Stay updated on the latest advancements in machine learning and optimization, integrating innovative techniques and tools into projects. Mentor junior data scientists by providing technical guidance, reviewing work, and fostering their professional development. Demonstrate a commitment to ethical data science, ensuring Hyatt’s models and solutions are developed with fairness, transparency, and integrity. Qualifications Strong experience building personalization or recommendation ML models Demonstrated success with large-scale ML projects (recommendation, search, content marketing) Proficiency with AWS and GCP platforms Hands-on experience with cloud-based machine learning models Technical Knowledge: Familiarity with reinforcement learning and techniques like multi-armed bandits Solid understanding of optimization techniques (e.g. constraint optimization) Education: Language & Domain Fit: Advanced English proficiency Domain alignment with machine learning, GenAI, and verbalistic modeling Experience defining KPIs, project scoping, and driving measurable business impact Ability to mentor junior data scientists and foster knowledge-sharing Compensation package Annual allotment of free hotel stays at Hyatt hotels globally Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption Seniority level Seniority level Executive Employment type Employment type Full-time Job function Job function Information Technology Industries Hospitality Referrals increase your chances of interviewing at Hyatt by 2x Get notified about new Data Scientist jobs in Mexico City Metropolitan Area . Mexico City Metropolitan Area 3 weeks ago Mexico City Metropolitan Area 2 weeks ago Mexico City Metropolitan Area 1 month ago Mexico City Metropolitan Area 3 weeks ago Mexico City Metropolitan Area 3 weeks ago Business Data Scientist, Gemini Application Marketing (English) Senior Data Scientist - Decision Science Mexico City Metropolitan Area 1 month ago Mexico City Metropolitan Area 4 weeks ago Mexico City Metropolitan Area 1 month ago Junior Data Scientist focused on LLMs and Machine Learning We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr