Associate Data Scientist Jobs in Ohio (NOW HIRING)

Responsible for receiving, informing, and executing projects that entail the entire scope of the data science pipeline which include, but are not limited to: integrating disparate and centralized data into data marts, developing statistical models, designing and automating report distribution while continuously presenting and re-assessing results in support of department initiatives. This position will both lead and support interdisciplinary collaboration to identify opportunities and deploy adaptive analytic strategies to provide measurable improvements in the value of care delivered by University Hospitals to current and future patient populations.

• 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 real-world 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 Transformation and System Operations Strategy.
• 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.

• Performs other duties as assigned.
• Complies with all policies and standards.
• For specific duties and responsibilities, refer to documentation provided by the department during orientation.
• Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.

• Bachelor's Degree in Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative of Social Science discipline (Required)
• Master's Degree in related field (Preferred)

• less than 1 year working with complex analytic situations or big data environments (Required)
• Healthcare (Hospital/Health System, Payor, or Life Sciences) experience (Preferred)

• Experience with statistics, geospatial analytics or business intelligence development, report automation, and applied ETL development (Required proficiency)
• Experience with at least 1 advanced programming method (e.g. Python, R, etc.) (Required proficiency)
• Experience with relational databases and SQL queries (Required proficiency)
• Experience in data visualization and ability to communicate results to a non-technical audience (Required proficiency)
• Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. (Required proficiency)
• Experience providing insights to executive stakeholders (Required proficiency)
• Experience managing collaborative data science projects (Required proficiency)
• Experience providing analytics that have a major impact on company's strategic imperatives and business results. (Required proficiency)
• At least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2) (Required proficiency)
• SQL/complex SQL queries (Required proficiency)
• Knowledge of Microsoft Azure (Required proficiency)
• Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members (Required proficiency)
• Optimistic, self-directed performer capable of complex decision making and communication (Required proficiency)
• Capable of turning questions into testable hypotheses, estracting data from complex databases, creating and evaluating statistical models (Required proficiency)
• Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. (Required proficiency)
• Working knowledge of emerging technology platforms (Required proficiency)
• Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding. (Preferred proficiency)

• Standing Occasionally
• Walking Occasionally
• Sitting Constantly
• Lifting Rarely up to 20 lbs
• Carrying Rarely up to 20 lbs
• Pushing Rarely up to 20 lbs
• Pulling Rarely up to 20 lbs
• Climbing Rarely up to 20 lbs
• Balancing Rarely
• Stooping Rarely
• Kneeling Rarely
• Crouching Rarely
• Crawling Rarely
• Reaching Rarely
• Handling Occasionally
• Grasping Occasionally
• Feeling Rarely
• Talking Constantly
• Hearing Constantly
• Repetitive Motions Frequently
• Eye/Hand/Foot Coordination Frequently

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