A data scientist, a high-level individual contributor, will be collaborating with cross-functional teams. This role involves leading and coordinating data-driven efforts across different departments or disciplines. Effective communication, adaptability, and a strong understanding of both technical and business aspects are essential for success in this role. 1.Strategic Planning: Work closely with stakeholders from various functional areas (such as IT, marketing, finance, and operations) to understand their data needs and align analytics initiatives with organizational goals. Develop a strategic vision for data analysis and drive its implementation. 2. Data Governance and Quality Assurance: Establish data governance policies and procedures to ensure data accuracy, consistency, and security. Collaborate with data engineers and data scientists to maintain high-quality data pipelines and databases. 3. Cross-Functional Collaboration: Facilitate communication and collaboration between teams. Translate business requirements into data analysis tasks and vice versa. Bridge the gap between technical and non-technical stakeholders. 4. Project Management: Lead cross-functional projects related to data analysis, reporting, and insights. Define project scope, timelines, and deliverables. Monitor progress and address any roadblocks. 5. Data Exploration and Visualization: Explore large datasets to identify patterns, trends, and insights. Data sources include electronic health records (e.g., EPIC), decision support systems (e.g, EPSi, StrataJazz), and other healthcare systems. Create visualizations (such as charts, graphs, and dashboards) to communicate findings effectively. 6. Statistical Analysis and Modeling: Apply statistical techniques to analyze data and draw meaningful conclusions. Collaborate with data scientists to build predictive models when necessary. 7. Change Management and Training: Support organizational change related to data initiatives. Train team members on data tools, best practices, and analytical methods. 8.Other duties as assigned
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Job Type
Full-time
Career Level
Mid Level