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Cincinnati Children's Hospital Medical Center Senior Analyst - Data Science in Cincinnati, Ohio
Job Description At Cincinnati Children's, we come to work with one goal: to make children's health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children's. Cincinnati Children's Hospital Has Been Named: * Consistently recognized by U.S. News & World Report as a top 10 children's hospital in the nation * One of four Medical Centers making the list of the 2022 Glassdoor Best Places to Work * A Top Hospital and Health System for Diversity recognized by DiversityInc * One of the nation's most innovative companies by Fortune in March 2023 * An LGBTQ+ Healthcare Equality Top Performer in 2022 by The Human Rights Campaign (HRC) Duties: Duties: Cincinnati Children's Hospital Medical Center in Cincinnati, Ohio seeks Senior Analyst - Data Science (Multiple Openings) to be responsible for data analysis, usage requirements, data governance with a focus on analytic and integration-intensive initiatives. Work with understanding data use, analysis and integration requirements and guiding solution design and architecture to meet these needs, including prototyping. visualizations, quality assurance and ongoing data quality. Guide and inspire the organization about the potential and strategy of data science and artificial intelligence. Understand new data sources and process pipelines and catalog/document them. Determine requirements that will be used to train and evolve deep learning models and algorithms. Communicate and follow Data/AI Governance principles. Create datasets using Enterprise data preparation tools. Integrate performance management and data quality tools into the current business infrastructure. Collaborate with other data science teams within the organization to evangelize and ensure compliance to organizational analytic practices and encourage reuse of artifacts. Collaborate with IT teams to inform Analytics production infrastructure processes. Develop mastery in IT skills in coding languages (Python, R, etc.) and database programming languages for both relational and nonrelational data structures. Develop expertise in data wrangling, data mining, data & quantitative analysis. Focus on supporting leaders and data practitioner staff with insights, management reports, and analysis for decision-making process & training driving data literacy and data governance. Work with teams to understand, document and respond to requirements to meet moderate to highly complex analytic needs and identify data-driven opportunities. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)Machine Learning to moderate to high complex questions. Generate hypotheses about the underlying mechanics of the business/clinical process. Test hypotheses using various quantitative methods. Proactively mine data warehouses to identify trends and patterns and generate insights for business units and senior leadership. Display drive and curiosity to understand the business/clinical process and collaborate with domain experts to better understand the system workflows and generation of data. Serve as a consultant to clinical, operation and research teams, regarding complex statistical & analytical issues. Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success. Execute own project tasks with urgency and to a high level of quality. Communicate status clearly and effectively using departmental project management tools. Follow time-tracking and other project management requirements. Lead project meetings and workgrou Apply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLj