Data Scientist, Mid level

Builds, maintains, and improves dashboards, applications, and automations.

Connects to APIs, system-to-system connections, and manual data transfers for ETL.

Builds predictive risk models using statistical analysis.

Applies AI/ML to extract insights from unstructured documentation.

Develops and carries out full-service data calls, including data normalization and visualization.

Creates business intelligence analysis and visualizations for management.

Improves methodologies and tools for risk assessment.

Researches and recommends business data storage/integration solutions.

Develops user guides and documentation for BI products.

Incorporates data science tools (SQL, R, Python, etc.) into services.