Senior Data Scientist

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At Hyatt, we’re working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners, and colleagues.Hyatt seeks an extraordinary data scientist to help build the algorithmic assets and features that Hyatt guests, members, customers, and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.In this role, you will have the opportunity to work on a wide variety of data science projects across Personalization, Generative AI, Forecasting, and Decision Science.You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about machine learning and AI.Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn’t just a nice to have, it’s a must. You will be part of a team passionate about diversity, equity, and inclusion, committed to nurturing curiosity and new skills and building connections with stakeholders, colleagues, and guests across the organization.

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 guests have been at the heart of our business and helped Hyatt become one of the world's best and fastest-growing hospitality brands.

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.

How We Care for Our People

Our purpose sets us apart—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.

We’re proud to offer exceptional corporate benefits which include:

1. Annual allotment of free hotel stays at Hyatt hotels globally
2. Work-life benefits including well-being initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
3. A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
4. Paid Time Off, Medical, Dental, Vision, 401K with company match

Our Commitment to Diversity, Equity, and Inclusion

Our success is underpinned by our diverse, equitable, and inclusive culture and we are committed to diversity across the board—from whom we hire and develop, the organizations we support, and whom we buy from and work with.

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 Well-being.

The Role

1. Support a variety of algorithmic products with core algorithmic data science capabilities
2. Hands-on developer of internal models/processes such as machine learning models, numerical optimization, recommender systems, NLP and Generative AI, time-series forecasting, statistical significance testing, operational ml-as-a-service API development, and streaming event data processing.
3. Stay up to date with the latest data science research and how it can be applied to Hyatt’s business.
4. Work collaboratively with other data scientists and business partners to ensure proper execution/integration of forecasting products.
5. Report on model metrics, bias, explainability, and incremental business impact with a commitment to ethical data science.
6. Demonstrate holistic thinking, strategic agility, and leadership at all levels of the organization.

Qualifications

Experience Required:

1. Master’s degree in computer science, statistics, or related fields required, PhD preferred.
2. 5+ years of data science experience driving impact with a focus on one or more of (Personalization, Forecasting, Generative AI, Decision Science). Hospitality experience is not required.
3. Expertise in Python, SQL, and Spark. Additional software experience preferred ie Docker.
4. Expertise in a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc).
5. Experience operating in AWS cloud environment with large datasets.
6. Experience with streaming data architectures.
7. Experience with optimization solvers (Gurobi, CPLEX, etc)
8. Experience operating in an Agile Methodology environment.
9. Experience with DevOps and CI/CD concepts.
10. Excellent communication and teamwork skills.

The position responsibilities outlined above are in no way to be construed as all-encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

We welcome you:

Research shows that women, people of color, and other historically excluded groups, tend to apply to jobs, only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We’d love to consider your unique experiences and how you could make Hyatt even better.

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