Data Scientist - Intermediate

The Data Scientist Intermediate leverages the tools and methods of applied data science to generate business and clinical value for the organization through discovery of new insights/knowledge. Working under general supervision, this role develops a body of high-impact models that can be implemented in a production setting to improve member health outcomes, increase the efficiency of care delivery operations, and contain health care costs through health improvement and risk mitigation.

 

Applies machine learning-based data mining methods to discover new patterns in claims and care delivery data for the purpose of understanding performance of the organization and the populations that it serves.

Creates predictive models for clinical and financial outcomes and population behaviors.

Builds simulation models to assess the range of possible outcomes for strategic and tactical proposals, and to gain an understanding of the sensitivity to associated business levers, prior to implementation.

Demonstrates attention to detail and initiative in discovering errors in data or analyses, or determining the need for additional, follow-up analysis arising from the original assignment.

Produces a combination of data mining, predictive modeling, simulation modeling or other quantitative analyses to provide new insights into drivers of clinical risk and financial performance.

Produces customer-oriented reports that provide business context for data science-based analysis and recommendations, requiring only moderate.

Provides data science tools and methods mentorship to staff at the Data Scientist level.

Performs other duties as assigned.