Hyatt · 1 day ago
Senior Data Scientist (Remote opportunity)
United States
Full-time
Remote
Senior Level
5+ years expHyatt 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, helping to build data-driven decision-making solutions across key areas of the business.
HospitalityInformation TechnologyTravel
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
Qualification
Required
Master's degree in computer science, statistics, industrial engineering, or related fields required
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 skills
Preferred
PhD preferred
Benefits
Annual allotment of free hotel stays at Hyatt hotels globally
Flexible work schedule
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
Paid Time Off
Medical
Dental
Vision
401K with company match
Company
Hyatt
Hyatt is a global hospitality company with widely recognized, industry leading brands and a tradition of innovation.
10001+ employees
H1B Sponsorship
Hyatt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (44)
2024 (22)
2023 (24)
2022 (40)
2021 (21)
2020 (16)
Funding
Current Stage
Public CompanyTotal Funding
$2.45B2025-11-17Post Ipo Debt· $400M
2025-03-17Post Ipo Debt· $500M
2024-11-18Post Ipo Debt· $150M
Leadership Team
Mark Hoplamazian
President & CEO
Peter Sears
Executive VP & Group President - Americas
Recent News
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-06
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