Principal Data Scientist – Enterprise Analytics (FCH)
About the CompanyFroedtert Health and the Medical College of Wisconsin (MCW) together form one of the region’s leading academic health systems, integrating clinical care, research, and medical education to advance health outcomes across Wisconsin and beyond. Froedtert Health is a large, complex healthcare delivery system, while MCW drives innovation through nationally recognized research, education, and physician leadership.This integrated model creates a unique environment where academic insight meets real‑world healthcare delivery at scale. Clinicians, researchers, operational leaders, and analytics professionals collaborate closely to translate data, discovery, and innovation into measurable improvements in patient care, safety, access, and efficiency.Analytics and data science play a critical role across the enterprise, supporting clinical excellence, operational performance, and strategic decision‑making. Froedtert and MCW are deeply invested in advanced analytics, machine learning, and AI as core enablers of their mission, with teams embedded alongside clinical and operational partners to solve complex, high‑impact problems.Driven by a shared commitment to innovation, collaboration, and purpose, Froedtert and MCW offer an opportunity to do technically challenging work in a mission‑driven environment—where data‑driven solutions directly improve the lives of patients and communities.About the RoleWe are seeking a Principal Data Scientist to join our Enterprise Analytics team within FCH. This role partners closely with healthcare operations and clinical stakeholders to model complex problems and deliver advanced analytics, machine learning, and AI-driven solutions that generate actionable clinical insights and measurable business impact.The ideal candidate brings deep technical expertise, strong healthcare analytics domain knowledge, and the ability to lead complex analytic initiatives from concept through deployment.ResponsibilitiesAnalytics Development Design and deliver descriptive, diagnostic, predictive, and prescriptive analytics to support decision-making and performance improvement.Perform advanced analyses including forecasting, regression, time series, and statistical process control.Develop, train, validate, and deploy machine learning and AI models, including NLP and computer vision algorithms.Lead hypothesis testing, experimentation, and design of experiments.Architect scalable, extensible analytic solutions across multiple tools and source systems.Serve as a subject matter expert across a broad range of analytics techniques and technologies.Data Modeling & Data Quality Design conceptual, logical, and physical data models integrating multiple source systems.Apply best practices in normalization, schema design, keys, indexes, and data types.Interpret and utilize entity relationship diagrams effectively.Ensure high data integrity through profiling, validation, cleansing, restructuring, and enrichment.Programming & Technical Development Use advanced SQL for data acquisition and application development, including complex joins, aggregations, indexing, and performance optimization.Develop reusable, scalable, and well-documented code.Apply Python, R, or similar programming languages to build analytic models and workflows.Visualization & User Experience Design advanced, interactive dashboards and analytical applications for diverse user populations.Lead peers in visualization strategy, design standards, and UI best practices.Process Improvement & Consulting Lead assessment, solutioning, and implementation of departmental and cross-functional analytics processes.Advise stakeholders on measurement system design and improvement methodology.Project & Delivery Leadership Manage multiple concurrent workstreams, timelines, and deliverables in a dynamic environment.Estimate effort, create work breakdown structures, and lead multi-resource initiatives.Adapt priorities quickly while maintaining stakeholder alignment.Critical Thinking & Quality Assurance Lead validation, testing, and peer review of complex analytic solutions.Troubleshoot system issues, anticipate downstream impacts, and implement issue-prevention best practices.Communication & Change Enablement Communicate complex analytics concepts to both technical and non-technical audiences.Lead presentations, product demos, UAT sessions, and end-user training.Drive adoption through clear, effective communication and stakeholder engagement. QualificationsEducation: Bachelor’s degree in Computer Science, Information Systems, Health Care Administration, Engineering, or related field (or equivalent experience).Experience: Minimum 4 years of directly related experience delivering analytics solutions, including: Data analysis and modelingAdvanced SQL developmentDashboarding and data visualizationDevelopment of technical and functional specificationsBusiness Intelligence tools Required SkillsTechnical Skills: Advanced SQL (data acquisition, complex joins, aggregation, indexing)Advanced proficiency in Python, R, SAS, or VBADomain Knowledge: Working knowledge of healthcare operations, clinical data sets, metrics, and terminology OR deep subject-matter expertise in a specific healthcare domain (e.g., lab, radiology) Preferred SkillsFamiliarity with process improvement methodologiesStrong analytical, problem-solving, and consulting skills This is an opportunity to play a principal-level role in shaping enterprise analytics within a healthcare environment—delivering advanced data science solutions that directly impact clinical outcomes and operational performance.Equal Opportunity Statement:We are committed to diversity and inclusivity.