Note: The job is a remote job and is open to candidates in USA. Hyatt Hotels Corporation is a global hospitality company focused on caring for people and creating exceptional experiences. Hyatt is seeking a Lead Data Scientist to design, develop, evaluate, and optimize AI and machine learning solutions for search, personalization, and agent experiences while providing technical leadership, mentoring, and cross-functional collaboration. The role focuses on generative AI, production machine learning, MLOps, cloud delivery, and responsible AI.
Responsibilities
- Design, prototype, and productionize Generative AI solutions in NL Search, Information Retrieval and Recommender Systems
- Build and evaluate LLM-powered applications, including retrieval-augmented generation, prompt engineering, fine-tuning, embeddings, semantic search, and agentic or workflow-based AI systems
- Develop robust model evaluation frameworks, including offline metrics, human evaluation, guardrail testing, bias and safety checks, and business-impact measurement
- Identify opportunities to apply AI to improve guest experiences, colleague productivity, operational efficiency, and commercial outcomes
- Translate ambiguous business problems into clear data science problem statements, solution designs, success metrics, and implementation plans
- Serve as a hands-on technical lead for high-impact AI and machine learning initiatives
- Lead solution design, modeling decisions, experimentation strategy, and technical tradeoff discussions
- Partner with ML engineering and data engineering teams to deploy scalable real-time inference pipelines and batch processing workflows
- Influence technical roadmaps and help sequence data science initiatives based on business value, feasibility, risk, and team capacity
- Mentor data scientists and ML practitioners through design reviews, code reviews, modeling best practices, and knowledge sharing
- Collaborate with ML engineering to productionize models and Gen AI services using AWS-native tools and modern MLOps practices
- Contribute to scalable ML system design, including data pipelines, feature workflows, model serving, observability, monitoring, and lifecycle management
- Apply strong software engineering practices, including version control, CI/CD, testing, reproducibility, containerization, and documentation
- Support deployment patterns for both batch and low-latency inference use cases
- Partner with security, governance, architecture, and legal/privacy stakeholders to ensure AI systems are reliable, secure, compliant, and responsibly deployed
- Work closely with product owners, data scientists, ML engineers, data engineers, architects, and business stakeholders to deliver end-to-end algorithmic products
- Communicate model behavior, limitations, assumptions, risks, and business impact clearly to technical and non-technical audiences
- Define measurable success criteria and help evaluate whether AI solutions are delivering intended outcomes
- Champion responsible AI, inclusive design, and practical experimentation across projects
Skills
- Master's degree in computer science, Software Engineering, or related field
- 6+ years of experience in machine learning roles focused on areas such as NLP/NLU, reinforcement learning or LLM applications, including 3+ years of people management experience in a tech leadership role
- Experience in fine-tuning and deploying LLMs or other Generative AI solutions to production
- Expertise in AWS cloud services (e.g., SageMaker, ECS/EKS, Step Functions, Lambda, Glue)
- Strong programming skills in Python, with experience in SQL, PySpark, and containerization (e.g., Docker)
- Proven experience designing scalable data pipelines and ML systems for both real-time and batch inference
- Deep understanding of responsible AI practices, CI-CD pipelines, Agile development practices, and model lifecycle management
- Excellent interpersonal and communication skills, with a strong bias for action and collaboration
- Familiarity with ML observability and governance tools
- Ph.D 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
- This position is also eligible to earn an annual bonus.
Company Overview
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