Data Scientist Intermediate

This data scientist position 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.

Essential Job Function:

• 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.

Education:

• Required: Bachelors Degree

Experience:

• Required: 3 years

Licensure/Certification/Listing: