IT - Data Scientist

Data Scientist
Location: Shaker Heights, OH (Hybrid)

Type of Role: Direct Hire

Salary Range: $80K-$100K

The Data Scientist supports administrative and clinical leaders and teams focused on achieving the Quadruple

Aim. The individual in this role is responsible for executing projects that require the full data science pipeline

including data integration of disparate and centralized data into data marts, data mining, statistical model

development, advanced analytic methods, report/dashboard visualization and results presentation in support of

strategic objectives.

What You'll Be Doing

• Lead the discovery and requirements gathering process with key clinical and business stakeholders to

inform analytic plans

• Collaboratively co-create the discovery, design, development, deployment, optimization, and

maintenance of advanced analytics and data science techniques to enrich disparate datasets to craft

data-driven interventions aimed at achieving the Quadruple Aim.

• Research, design, develop and implement statistical models, and advanced analytics to support key

strategic initiatives.

• Develop and deploy innovative analytic solutions for simplistic Analytics-As-A-Service Business

Intelligence dashboards, rapid-fire flash reports directly to clinical and operational colleagues and/or

other customized reporting distribution solutions.

• Visualize data in creative ways that brings data and insights to life and is consumable in the business

and operational workflow of end-users

• Creatively utilize diverse data sources, such as electronic health record data, insurance claims data,

scheduling and financial data, social determinants of health data and any other relevant sources that

help support UH Clinical Transformation and System Operations Strategy.

• Develop purpose-driven data marts in Alteryx and SQL environments (on premise and Microsoft Azure).
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Collaborate with IT to support data architecture of diverse datasets that support clinical integration by

converging these disparate data systems into repositories fit for algorithmic development and model

training.

• Evaluate business performance and dynamically monitor critical operational measures related to shared

savings arrangements and other value-based programs with governmental and commercial payors.

• Propose and develop novel solutions to UH data science problems, demonstrate and evaluate the

feasibility of these solutions and continuously adapt these solutions to integrate into the context of realworld clinical care.

• Support the creation of analytics and scientific exploration related to risk modeling, financial

performance and quality of care for managed populations.

• Create technical interfacing to deploy simplified analytics directly to provider portal(s), / websites, or

mobile applications to enhance the UH clinical and business processes.

• Develop documentation, software, support tools, and technology infrastructure to enhance the ability of

analysts and operational leaders across the clinical enterprise to effectively and rapidly extract meaning

from health care data.

• Develop processes and tools to monitor and analyze analytical model performance and data accuracy;

provide ad-hoc analysis and visualizations.

• Engage, mentor, co-create, cross-train, and learn from data science and analytical colleagues to

promote a collaborative environment with applied process learning.

• Maintain fluency in existing and emerging data science technologies and complete online coursework or

independent study to fill in gaps of knowledge as needed to manage and execute innovation projects.

• Serve as the technical lead focused on creative use of diverse data sources, such as electronic health

record data, insurance claims data, scheduling and financial data, social determinants of health data,

and any other relevant sources that help support the UH clinical and business processes.

What We Will Love About You

• Bachelor's Degree Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related

Quantitative or Social Science discipline (Required)

• 3+ years Working with complex analytic situations or big data environments (Required)

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