Data Scientist

Role Overview

Supports AI and analytics discovery through process mining, AI use case analysis, data exploration, analytical modeling, and insight generation for CXI transformation opportunities.

Responsibilities

• Analyze operational data and process flows to identify bottlenecks, inefficiencies, patterns, and improvement opportunities.
• Support AI/ML and agentic AI use case analysis, prioritization, feasibility assessment, and value framing.
• Prepare analytical summaries, data-readiness observations, visualizations, dashboards, and insight packs.
• Collaborate with Principal Data Scientist, BAs, consultants, and architects to connect analytics findings to business opportunities.
• Document data assumptions, data quality observations, process mining outputs, and analytical limitations.

Requirements

• 3-6+ years in analytics, data science, process mining, or applied machine learning.
• Healthcare domain experience is required, with healthcare payer, claims, member experience, G&A, audit, or regulatory workflow exposure preferred based on track assignment.
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or related field.
• Experience with Python/R/SQL, analytics tools, visualization, process mining tools, and basic ML methods preferred.
• Ability to translate data findings into clear business insights.

Skills

• Python
• R
• SQL
• Machine Learning
• Process Mining