Data Scientist: War Room AI & Operational Analytics

Optum; San Juan (PR); On-site; USD 90,000 - 130,000; Full time

Job summary

Optum in San Juan, PR is seeking a Data Scientist to join its War Room analytics and AI initiatives. You will build and operationalize analytics and AI capabilities for critical operational events, translating signals into scalable insights for business and technology stakeholders.

You will develop models, handle structured and unstructured data, apply ML/NLP techniques, and collaborate with operations, analytics, and data engineering to deliver executive-ready outputs that improve situational

Qualifications

• 3+ years of experience in Data Science, Analytics, ML, or AI.
• Hands-on experience with Python and analytics libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch.
• Experience working with structured and unstructured data, including data preparation and exploratory analysis.
• Knowledge of ML, statistical modeling, NLP, and model evaluation techniques.
• Ability to communicate analytical results clearly to business and technical stakeholders.
• Strong problem-solving and collaborative skills.

Responsibilities

• War Room Analytics & AI Solution Support: design, develop, and implement advanced analytics for War Room event management.
• Data Science & Model Development: build, test, and validate models and AI-enabled outputs for issue detection and executive visibility.
• Prepare, clean, explore, and transform data from multiple sources.
• Use statistics, ML, and visualization to turn signals into actionable insights.
• Develop reusable code, workflows, and automation in Python.

Skills

Python

Pandas

NumPy

Scikit-Learn

TensorFlow

PyTorch

Tools

Databricks

Azure AI

Snowflake

Job description

Optum in San Juan, PR is seeking a Data Scientist to join its War Room analytics and AI initiatives. You will build and operationalize analytics and AI capabilities for critical operational events, translating signals into scalable insights for business and technology stakeholders.

You will develop models, handle structured and unstructured data, apply ML/NLP techniques, and collaborate with operations, analytics, and data engineering to deliver executive-ready outputs that improve situational