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Mid-level generalist data scientist role in a metro market with broad requirements increases candidate competition.
Mandatory healthcare domain experience creates strong industry-specific fit requirements.
Explicit 3–6 years requirement plus mandatory healthcare domain and technical skills make filters stringent.
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Analyze operational data and process flows to identify inefficiencies and improvement opportunities within AI and analytics discovery for CXI transformation.
Support AI/ML use case analysis including prioritization, feasibility assessment, and value framing in agentic AI context.
Produce deliverables such as process mining outputs, analytical summaries, visualizations, dashboards, and documentation for data assumptions and limitations.
3-6+ years of experience in analytics, data science, process mining, or applied machine learning.
Healthcare domain experience required, preferably with payer, claims, member experience, G&A, audit, or regulatory workflow exposure.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or related field.
Experience with Python, R, SQL, analytics and visualization tools, process mining tools, and basic ML methods preferred.
Experienced in process mining and AI use case analysis with demonstrated ability to translate data into business insights.
Background in healthcare analytics specifically related to payer or claims workflows, suited for CXI transformation projects.
Ability to collaborate across functions with data scientists, business analysts, consultants, and architects to operationalize analytic findings.