Senior Data Scientist

Senior Data Scientist

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

• Text Classification
• NLP Pipelines
• LLM Applications
• 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.