Data Scientist - San Juan, PR

UnitedHealth Group•San Juan, PR

14h•Onsite

About The Position

This Data Scientist role is intended to add dedicated hands-on capacity to support advanced AI development for War Room analytics, with a focus on building and operationalizing analytics and AI capabilities for critical operational events. The role will help enable faster issue detection, deeper root cause insight, and more actionable executive-level visibility by translating complex operational signals into scalable, usable intelligence for business and technology stakeholders. This work requires solid technical execution across data, analytics, machine learning, and applied AI, along with the ability to develop analytical workflows, AI-enabled insights, and executive-ready outputs that improve situational awareness and response effectiveness during operational scenarios.

Requirements

3+ years of experience in Data Science, Analytics, Machine Learning, Artificial Intelligence, or related disciplines
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, feature engineering, and exploratory analysis
Working knowledge of machine learning, statistical modeling, natural language processing, and model evaluation techniques
Demonstrated ability to communicate analytical results, insights, and recommendations clearly to business and technical stakeholders
Proven solid problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment

Nice To Haves

Experience in Customer Experience, Contact Center Quality, Customer Interaction Analytics, or Operational Excellence environments
Experience with Databricks, Azure AI, Snowflake, or modern cloud analytics platforms
Experience working in Agile delivery environments with cross-functional product, analytics, and technology teams
Exposure to Voice Analytics, Speech Analytics, Quality Monitoring, Sentiment Analysis, and Conversational AI use cases
Familiarity with LLMs, Generative AI, RAG concepts, prompt engineering, AI agents, and responsible AI practices

Responsibilities

Support the design, development, and implementation of advanced analytics and AI capabilities for War Room analytics and operational event management
Analyze operational signals, incident trends, business impacts, and technology indicators to support faster issue detection and escalation awareness
Apply machine learning, natural language processing, and AI techniques to support anomaly detection, signal classification, summarization, and insight generation use cases
Partner with operations, business, analytics, data engineering, and technology stakeholders to convert War Room needs into scalable analytical solutions
Document analytical approaches, assumptions, AI outputs, and operational insights in a clear and consumable format for business and technology audiences
Develop, test, and validate analytical models and AI-enabled outputs that support issue detection, root cause analysis, operational prioritization, and executive visibility
Prepare, clean, explore, and transform structured and unstructured data from operational, technology, business, and event-management sources
Use statistical analysis, machine learning, and data visualization techniques to convert complex operational signals into actionable intelligence
Build reusable code, analytical workflows, model evaluation routines, and automation assets using Python and related analytics libraries
Monitor model and workflow outputs to support continuous improvement, response accuracy, and operational usefulness
Support development of Generative AI solutions for operational event summarization, root cause insight generation, executive brief creation, and War Room intelligence workflows
Assist in building AI-enabled workflows that reduce manual analysis effort and improve the speed and consistency of operational event response
Apply prompt engineering, retrieval-based approaches, and model evaluation techniques to create reliable and explainable AI outputs
Follow responsible AI, data privacy, model governance, and documentation standards while developing analytics and AI solutions
Contribute to the development of scalable data science solutions, analytical pipelines, and AI-enabled capabilities
Work with data engineering teams to access, validate, and integrate data required for analytics and model development
Support testing, troubleshooting, optimization, and production readiness of analytics and AI solutions
Participate in Agile delivery routines, sprint planning, demos, and solution reviews
Maintain solid coding, version control, and documentation practices across assigned work
Collaborate with business, operations, analytics, product, and technology stakeholders to understand requirements and deliver analytical outputs
Translate business questions into data analysis, model development, dashboards, and insights
Communicate findings, model results, and recommendations clearly to technical and non-technical audiences
Support senior team members in preparing business reviews, solution walkthroughs, and analytical recommendations
Build solid working relationships across cross-functional teams to enable timely delivery
Participate in experimentation and proof-of-concept development for emerging analytics, advanced AI, and War Room intelligence capabilities
Identify opportunities to improve operational event analytics, incident intelligence workflows, and executive reporting outputs
Develop reusable analytical assets, code templates, insight frameworks, and documentation to improve delivery efficiency
Continuously learn new data science, AI, and analytics techniques relevant to operational intelligence, event response, and executive visibility