Data Scientist

Data Scientist

Serves as an expert Data Scientist leading the development, management, control, coordination, and execution of assigned data science requirements, which requires technical expertise across the data life cycle (e.g., data collection, ingestion, storage, modeling, access, integration, analysis, and decision support).

Applies advanced programmatic techniques and statistical methodologies using analytic software to strategically prepare, cleanse, and engineer features from complex and often imperfect datasets, establishing best practices for data quality and readiness.

Responsible for aggregating, collating, and analyzing data from associated databases, including, but not limited to the development, implementation, and updating of data extraction queries, data mining and developing strategies, action plans, data mart and data queries modification and maintenance, and quality control and validation of collected data.

Provides ongoing consultation and instruction to organizational functional area users on information systems, databases, and data accessing techniques, search and query strategies, processing and storage utilization efficiencies, database testing, and data privacy protection procedures.

Designs presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling with data where appropriate.