Hyatt · 9 hours ago
Data Scientist - Search, RecSys, Agents (Hybrid)
Chicago, IL
Full-time
Hybrid
Mid, Senior Level
$110K/yr - $140K/yrHyatt is a leading hospitality brand committed to advancing care through data-driven decisions and automation. They are seeking a Gen AI Engineering leader to design and implement AI solutions that enhance guest experiences and operational efficiencies, working collaboratively with various data science teams.
HospitalityInformation TechnologyTravel
Responsibilities
Design, train, and evaluate machine learning models for search relevance and ranking, information retrieval, recommender systems using large-scale behavioral and content data
Develop and experiment with NLP and representation learning techniques, including embeddings, semantic search, and query–document matching for both lexical and semantic retrieval systems
Develop ML systems to support AI assistants for conversational experiences, including intent classification, query rewriting, response ranking, and grounding using retrieved knowledge
Run offline evaluations and contribute to online experimentation (A/B, multi-arm and multivariate testing) to measure impact on relevance, engagement, and conversion
Perform feature engineering across structured and unstructured data sources, including text, user interaction logs, and contextual signals
Collaborate with machine learning engineers to transition models from experimentation to production inference pipelines (batch and real-time)
Analyze model behavior, diagnose failure modes, and iterate on data, features, and architectures to improve performance and robustness
Prototype and benchmark new modeling approaches informed by recent research in information retrieval, recommendation systems, and applied generative AI
Document modeling assumptions, evaluation results, and trade-offs to support reproducibility and cross-team collaboration
Qualification
Required
Master's or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, or a closely related field
Strong theoretical and practical foundation in: Supervised and unsupervised learning, Probability and statistics, Optimization and linear algebra
Proficiency in Python for data analysis, feature engineering, and model development
Hands-on experience with at least one ML framework such as PyTorch, TensorFlow, or scikit-learn
Experience working with SQL and large-scale datasets
Familiarity with model evaluation, error analysis, and experiment design
Preferred
Academic, internship, or project experience in one or more of the following: Search relevance and ranking models
Information retrieval (lexical and semantic)
Recommender systems (collaborative filtering, content-based, hybrid)
Agentic implementations preferably user-facing
Exposure to deep learning architectures (e.g., transformers, bi-encoders and cross-encoders)
Understanding of offline and online evaluation methodologies, including A/B testing
Experience using cloud or distributed computing environments (e.g., AWS, Spark, Ray) through coursework or projects
Familiarity with model deployment concepts such as batch inference, real-time APIs, and model monitoring (conceptual understanding sufficient)
Strong analytical thinking and ability to translate ambiguous product problems into well-defined modeling tasks
Benefits
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
Company
Hyatt
Hyatt is a global hospitality company with widely recognized, industry leading brands and a tradition of innovation.
Founded in 1957
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
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