The Data Scientist for our Healthcare Analytics & Innovation team supports our 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 UH Population Health and System Operations strategic objectives. The Data Scientist will work closely with senior leaders and colleagues to identify opportunities, set objectives, and formulate analytic strategies that result in measurable impact to University Hospitals. 3-5 years working with complex analytic situations or big data environments. Extensive experience working with SQL/complex queries. Extensive experience and proficiency in statistical programming languages such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2). Experience with statistics, business intelligence development, report automation, and applied ETL development. Experience in data visualization (e.g. Tableau or PowerBI are preferred) and ability to communicate results to a non-technical audience. Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. Experience providing insights to executive stakeholders. Experience managing collaborative data science projects. Experience providing analytics that have a major impact on companys strategic imperatives and business results. Healthcare (Hospital/Health System, Payor, or Life Sciences) experience preferred. Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding is preferred.
The Data Scientist for our Healthcare Analytics & Innovation team supports our 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 UH Population Health and System Operations strategic objectives. The Data Scientist will work closely with senior leaders and colleagues to identify opportunities, set objectives, and formulate analytic strategies that result in measurable impact to University Hospitals. 3-5 years working with complex analytic situations or big data environments. Extensive experience working with SQL/complex queries. Extensive experience and proficiency in statistical programming languages such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2). Experience with statistics, business intelligence development, report automation, and applied ETL development. Experience in data visualization (e.g. Tableau or PowerBI are preferred) and ability to communicate results to a non-technical audience. Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. Experience providing insights to executive stakeholders. Experience managing collaborative data science projects. Experience providing analytics that have a major impact on companys strategic imperatives and business results. Healthcare (Hospital/Health System, Payor, or Life Sciences) experience preferred. Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding is preferred.
Bachelor Degree 3-5 years of experience Masters of PhD in related field preferred.