The 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 experience for our guests.
You will have the opportunity to 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.
You will be part of a team that is passionate about inclusion, committed to nurturing curiosity and new skills, and building connections across the organization with stakeholders, colleagues and guests.
Who We Are
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 to 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.
Why Now?
This is an exciting time to be at Hyatt. We are growing rapidly and are looking for passionate changemakers to be a part of our journey. The hospitality industry is resilient and continues to offer dynamic opportunities for upward mobility, and Hyatt is no exception.
How We Care for Our People
What sets us apart is our purpose—to care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family. Our care for our colleagues is the key to our success. We’re proud to have earned a place on Fortune’s prestigious 100 Best Companies to Work For® list for the last ten years. This recognition is a testament to the tremendous way our Hyatt family continues to come together to care for one another, our commitment to a culture of inclusivity, empathy and respect, and making sure everyone feels like they belong.
We’re proud to offer exceptional corporate benefits which include:
- Annual allotment of free hotel stays at Hyatt hotels globally
Who You Are
As our ideal candidate, you understand the power and purpose of our culture of care, and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect and Wellbeing. You enjoy working with others, are results driven and are looking for a variety of opportunities to develop personally and professionally.
The Role
- 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.
