Data Scientist

The responsibilities described are for the full performance level. At developmental grade levels, assignments will be of more limited scope performed with less independence, and limited complexity. Lead the collection, validation, and prioritization of analytical datasets for data visualization products in coordination with IT resources. Critically assess and interpret complex datasets, scrutinizing data quality, validity, and reliability, and identifying inconsistencies or biases. Conduct complex algorithmic analysis, select and optimize algorithms, and report insights to senior leadership. Respond to data requests, perform data analysis using statistical software, and communicate findings to stakeholders. Develop, refine, and pilot innovative data visualizations (e.g., dashboards) with an emphasis on clarity, accuracy, and credibility of insights. Provide training and support teams in evidence-based decision-making and application of rigorous data validation techniques.