NHS Human Services, Inc.

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 workgroups. Develop ability to communicate complex results to technical and non-technical audiences, using storytelling and creative visualizations. Train other business and IT staff on basic data science principles and techniques. Continue to upskill through courses, local academia, networking etc. Ability to mentor & coach junior level data science analysts. Prepare reports, presentations and visualizations to share insights with clinical, operational and research teams, using data display standards and best practice.

Requirements: Master's degree in Computer Science, Information Management, Statistics, Economics, or related field. 4 years of experience with EPIC data, SQL programing, and data visualization tools such as Tableau. 4 years of experience within a healthcare system or hospital. 4 years of experience working with multidisciplinary teams to scope and document business requirements and develop proof of concept around functional dashboards and reports. 2 years