AmeriHealth Caritas

Data Scientist - SQL / SAS & Tableau

Job description

Responsibilities:


  • Must have the competency to apply complex methods and tools for large-scale data modeling. ;
  • Effectively communicate actionable insights from a vast quantity and wide variety of data.
  • Cover a broad spectrum of activities including data quality and management, mathematical and statistical methods for data modeling, and techniques for visualizing data.
  • Develop algorithms for predicting behavior and providing preventative care (specifically related to the risk for residential treatment in a behavioral healthcare setting, among other algorithmic predictions), and tests and validates predictive models.
  • Strategizes new uses for data and its interaction with data design.
  • Applies an in-depth understanding of advanced mathematical concepts, operations and statistics to solve new and complex problems and develop innovative strategies. ;
  • Develops reports for management on the overall performance of business segments and develops metrics to measure various characteristics of the business.
  • Works effectively in multifunctional teams.;


Qualifications / Education/ Experience:


  • At least five to ten (5 - 10) years of overall experience.;
  • A strong candidate will have excellent SQL or SAS programming skills.;
  • Experience with Tableau dashboarding is a plus.
  • Prefer minimum of three (3) years of data/reporting in the health care industry.
  • Require previous experience working in data mining.
  • Demonstrated skills with at least one reporting application such as; SAS, Crystal Reports, MS Access and SQL.
  • Master of Science in Analytics, Statistics, Mathematics, or similar required.


Other Skills:


  • Strong problem-solving skills.
  • Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
  • Strong critical thinking skills and the ability to relate them to the local plan.
  • Possesses working knowledge of statistics, programming and predictive modeling.

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