Senior Data Scientist (Remote 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, and 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 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. 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.

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

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. 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 how 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

•Flexible work schedules

•Work-life benefits including well-being 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

•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.

Being part of Hyatt means always having space to be you. Our global teams are a mosaic of cultures, ethnicities, genders, ages, abilities, and identities. We constantly strive to reflect the world we care for with teams that achieve and grow together. To learn more about our commitments to DE&I, please visit the Why Hyatt section of the Hyatt career page.

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. You enjoy working with others, are results-driven, and seek various 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, 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 their professional development.

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

Qualifications

Experience Required:

•Master’s degree in computer science, statistics, industrial engineering, or related fields required, PhD preferred.

•5+ years of experience in data science, operations research, or related area (2+ years for candidates with 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 with streaming data architectures.

•Experience operating in an Agile Methodology environment.

•Experience with DevOps and CI/CD concepts.

•Excellent communication and teamwork skill

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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