Lead Data Scientist

Hyatt

Lead Data Scientist developing AI and Machine Learning solutions for Hyatt Hotels. Collaborating with cross-functional teams to optimize guest, colleague, and operational experiences.

Posted 7/7/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $160,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and Machine Learning solutions, particularly in Generative AI, LLM applications, and responsible AI practices. Proven ability to mentor teams and collaborate effectively with engineering partners to optimize model performance and scalability.

Highest-signal resume keywords

Machine Learning ExpertiseGenerative AI SolutionsAWS Cloud ServicesPython ProgrammingPeople Management Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingReinforcement LearningLLM ApplicationsModel Evaluation FrameworksData Pipeline DesignFine-TuningPrompt EngineeringSemantic SearchBias and Safety Checks

Soft Skills

Interpersonal SkillsCommunication SkillsCollaborationBias for Action

Tools & Technologies

AWS SageMakerAWS ECS/EKSAWS Step FunctionsAWS LambdaAWS GlueDockerPySpark

Certifications & Qualifications

Master’s Degree in Computer SciencePh.D. Preferred

Industry Keywords

AI SolutionsMachine Learning EngineeringMLOps PracticesAgile DevelopmentModel Lifecycle Management

Tech Stack

Tools & technologies

AWSCloudDockerPySparkPythonSQL

About the role

Key responsibilities & impact

Own the design, development, evaluation, and optimization of AI and Machine Learning solutions that support Hyatt’s guest, colleague, and operational experiences.
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.
Partner with ML engineering and data engineering teams to deploy scalable real-time inference pipelines and batch processing workflows.
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.

Requirements

What you’ll need

Master’s degree in computer science, Software Engineering, or related field. Ph.D preferred.
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.

Benefits

Comp & perks

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