Data Scientist

Job_Description":"

**Role: Associate Data Scientist

**Discovery Track: Agentic AI & Analytics Support

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

Requirements

**Key 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.

  **Required Qualifications:

  • 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.

  • Bachelors or Masters 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.

    **Key Competencies / Deliverables:

    • Competencies: Process mining, AI use case analysis, data exploration, analytical modeling, dashboarding, insight generation, documentation.

    • Primary deliverables: Process mining outputs, analytics pack, AI use case analysis, data-readiness notes, insight dashboards, assumptions/limitations log.

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