Senior Manager of Healthcare Analytics

EXL Talent Acquisition Team
67d

About The Position

Lead senior and junior data scientist team to create models for a variety of healthcare-related solutions. Participate in the development, validation and delivery of algorithms, statistical models and reporting tools using healthcare data. Solve complex analytical problems with healthcare domain knowledge and strong technical background. Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Explore, examine and interpret large volumes of data in various forms. Perform analyses of structured and unstructured data to solve complex business problems utilizing advanced statistical techniques and mathematical analyses. Develop data structures and pipelines to organize, collect and standardize data that help generate insights and address reporting needs. Use data visualization techniques to effectively communicate analytical results and to support business decisions. Create and evaluate the data needs of assigned projects and assure the integrity of the data. Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.

Responsibilities

  • Lead senior and junior data scientist team to create models for healthcare-related solutions.
  • Participate in the development, validation and delivery of algorithms, statistical models and reporting tools using healthcare data.
  • Solve complex analytical problems with healthcare domain knowledge and strong technical background.
  • Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
  • Explore, examine and interpret large volumes of data in various forms.
  • Perform analyses of structured and unstructured data to solve complex business problems utilizing advanced statistical techniques and mathematical analyses.
  • Develop data structures and pipelines to organize, collect and standardize data that help generate insights and address reporting needs.
  • Use data visualization techniques to effectively communicate analytical results and to support business decisions.
  • Create and evaluate the data needs of assigned projects and assure the integrity of the data.
  • Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.
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