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The Data Scientist II position at the University of Rochester is a full-time role focused on designing, implementing, and disseminating advanced analytics and data science projects. The successful candidate will work closely with key stakeholders to provide analysis and insights that enable data-driven decision-making. This role supports the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities, and requires collaboration with team members to solve complex problems. The position is integral to ensuring robust, scalable analytics solutions are implemented efficiently across the enterprise. In this role, the Data Scientist II will translate complex data into insights and compelling narratives, presenting data models, analyses, and visuals, including dynamic dashboards, to both internal and external stakeholders. The candidate will iterate and refine their work based on feedback, making recommendations and providing actionable insights to stakeholders. Additionally, the Data Scientist will partner with operational and clinical leaders to implement these recommendations and provide consultation as needed, guiding strategy and influencing project priorities. The position requires a deep understanding of clinical and research requirements, allowing the Data Scientist to formulate, design, and execute analytical solutions that support these needs. Responsibilities include analyzing and modeling structured data, implementing algorithms using advanced statistical methods, and developing robust processes to prepare and enrich various data sources. The Data Scientist will also create and implement data science solutions to enhance analytical efforts and expand dashboard capabilities, collaborating on project plans and completing agile development of data models, machine learning pipelines, and reporting. The role also involves cultivating new data sources to provide insights necessary for research and decision-making, while maintaining a current knowledge base of relevant technologies and software.
