Duration: Long-Term Contract
100 % remote
Local to Chicago very much preferred
Interview Process: Video Interview Required
Must have:
Claims Analytics
Insurance Risk Modeling
Incident Prediction
Fraud Analytics
Severity Modeling
Explainable AI (SHAP, LIME, etc.)
Hospitality Industry Analytics
Travel Industry Analytics
Data Governance
PII Handling
Data Architecture
Databricks
Snowflake

Natural Language Processing

o Text Classification
o NLP Pipelines
o LLM Applications
o Claims / Incident Narrative Analysis

Operations Research & Optimization

Develop optimization solutions utilizing:
Linear Programming (LP)
Integer Programming (IP)
Mixed Integer Programming (MIP)
CPLEX
Gurobi
Apply mathematical optimization techniques to business and operational challenges
Support resource allocation and decision optimization initiatives

Data Science & Advanced Analytics

Develop predictive analytics and statistical modeling solutions
Build record-linkage and entity-resolution models where unique identifiers do not exist
Support large-scale data analysis across enterprise datasets
Work with structured, semi-structured, and unstructured data sources
5+ years of Data Science, Machine Learning, Operations Research, or related experience
o 2+ years may be acceptable with a relevant PhD
Proven experience building production-grade machine learning solutions
Strong experience with predictive analytics and risk modeling
Experience deploying models into enterprise environments
Experience working with large datasets and scalable architectures
Agile delivery experience

Programming & Data Technologies

Python
SQL
Spark

Position Overview

Hyatt is seeking a Senior Data Scientist to lead the development of advanced Machine Learning, Natural Language Processing (NLP), Artificial Intelligence, and Operations Research solutions supporting enterprise Risk Management, Claims Analytics, Incident Mitigation, and business optimization initiatives.
This role will partner closely with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams to design, deploy, and optimize predictive and optimization models that directly impact business outcomes.
This is not a reporting-focused or dashboard-oriented Data Scientist role.
Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI and Machine Learning solutions that can identify high-risk incidents, predict claim severity, optimize business decisions, and deliver explainable insights to business stakeholders.