Senior Data Scientist; Mexico-, Remote

Summary

Opportunity

Hyatt Hotels Corporation seeks an enthusiastic Senior Data Scientist to join our Data Science/Decision Science team. In this role, you will translate business objectives into advanced AI, Machine Learning and Operations Research models, help build data‑driven decision‑making solutions across key areas of the business, directly contributing to Hyatt’s mission of delivering distinctive experiences for our guests.

You will tackle complex business challenges by applying cutting‑edge machine‑learning and operations‑research techniques with a focus on building optimization models and decision‑support assets. As part of a growing, collaborative and highly visible Data Science team, you will work alongside talented professionals in data analytics, machine learning and Generative AI, all passionate about transforming the future of hospitality through the power of data science.

• Translate business problems 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 and 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 professional development.
• Demonstrate a commitment to ethical data science, ensuring Hyatt’s models and solutions are developed with fairness, transparency, and integrity.

• 5+ years of experience in data science, operations research, or related area (2+ years for candidates with a PhD).
• Expertise in operations research modeling (LP, IP, MIP) and tools (CPLEX, Gurobi, etc.).
• Expertise in building machine‑learning models, including supervised, unsupervised, and deep‑learning methods.
• Expertise in feature engineering, model evaluation, and hyperparameter tuning.
• Expertise in Python, SQL, and Spark, and a broad array of machine‑learning frameworks (Scikit‑Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc).
• Experience in developing and deploying solutions in a cloud environment (AWS, Azure, GCP) with large datasets.
• Experience operating in an Agile methodology environment.
• Excellent communication and teamwork skills.
• Master’s degree in computer science, statistics, industrial engineering, or related fields required;
  PhD preferred.
• Experience with streaming data architectures.
• Experience with Dev Ops practices and CI/CD concepts.
• Experience applying analytics, machine‑learning, or optimization solutions in the hospitality, travel, or related consumer‑facing industries.

• Annual allotment of free hotel stays at Hyatt hotels globally.

The Seabird Ocean Resort and Spa, Oceanside, CA, US.