Hybrid Data Scientist – Search, RecSys, Agents

at Hyatt

• Job title: Data Scientist – Search, RecSys, Agents
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $110,000 - $140,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Cloud, Python, PyTorch, Ray, Scikit-Learn, Spark, SQL, Tensorflow
• Location requirements: Hybrid, Chicago, United States

About the role

• AI Engineering leader tasked with implementing Gen AI solutions for Hyatt. Collaborating cross-functionally to innovate and enhance the guest experience through data-driven decisions.

Responsibilities

• Design and implement Gen AI solutions and partner closely with ML Engineering, Personalization, Forecasting, and Decision Science domains.
• Work cross-functionally with various data science teams, data engineering teams, and data architecture teams.
• Be a hands-on technical leader skilled as an implementation engineer while also leading the team to innovate and build cutting-edge Gen AI products and services.
• Analyze model behavior, diagnose failure modes, and iterate on data, features, and architectures to improve performance and robustness.
• Document modeling assumptions, evaluation results, and trade-offs to support reproducibility and cross-team collaboration.

Requirements

• 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: o Supervised and unsupervised learning o Probability and statistics o 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.
• Academic, internship, or project experience in one or more of the following: o Search relevance and ranking models o Information retrieval (lexical and semantic) o Recommender systems (collaborative filtering, content-based, hybrid) o 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