Data Scientist

Provide advanced analytics expertise for developing and supporting predictive models and other analytic algorithms. Will demonstrate technical expertise and work in partnership with business analysts, product managers, communication experts, clinicians and others to seek answers to key business questions through application of machine learning, statistical analysis and data mining techniques.

Essential Functions:
  • Use healthcare payment, operational and clinical data and external data sets to create predictive algorithms to gain insights.
  • Automate existing models and metrics to track production performance.
  • Synthesize analysis and results into compelling story lines, and communicate findings.
  • Evangelize the power of analytics and machine learning to improve business and operations.
  • Performs other duties as assigned.
Additional Responsibilities:
    Candidate Education:
    • Required A Bachelor's Degree in Computer Science or Engineering, Information Systems, Applied Mathematics, Statistics, Operations Research or related
    • Preferred A Master's Degree in a related field Computer Science or Engineering, Information Systems, Applied Mathematics, Statistics, Operations Research or related
    Candidate Experience:
    • Required 3 years of experience in Data Science, Analytics, Statistics or comparable quantitative position
    • Preferred 2 years of experience in Healthcare
    Candidate Skills:
    • Advanced Other Deep understanding of machine learning and data mining techniques including but not limited to algorithms for NLP, image analysis, regression and classification.
    • Advanced Demonstrated interpersonal/verbal communication skills
    • Intermediate Demonstrated written communication skills
    • Intermediate Ability to work as part of a team
    • Advanced Ability to work in a fast paced environment with changing priorities
    • Intermediate Other Familiarity with Big Data technologies
    • Advanced Other Passion and ability to surface insights from large data sets and build a data-driven narrative
    • Intermediate Other Experience working with large volumes of data using variety of statistical tools and techniques
    • Advanced Other Ability to understand complex business problems and break down analytics projects into a structured approach
    • Advanced Other Knowledge of data sources, tools, statistical principles and methodologies, and techniques
    Licenses and Certifications:
    A license in one of the following is required:
      Technical Skills:
      • Required Advanced Other Proven experience in Data Science toolsets such as Anaconda, Spark, Tensorflow, R, Python or similar
      • Required Advanced Other Experience manipulating data in SAS, SQL, R, Python, Scala or similar
      • Required Intermediate Other Big Data technologies such as Hadoop, Greenplum
      • Required Intermediate Other Statistical tools such as SPSS, SAS, ScyPy, etc.)
      • Required Intermediate Microsoft Excel
      • Preferred Intermediate Microsoft Project
      • Preferred Beginner Other Reporting Tools (Tableau, Cognos, D3)
      • Preferred Intermediate Microsoft Visio
      Languages:

        About us
        Headquartered in Tampa, Fla., WellCare Health Plans, Inc. (NYSE: WCG) focuses exclusively on providing government-sponsored managed care services through Medicaid, Medicare Advantage and Medicare Prescription Drug Plans to families, children, seniors and individuals with complex medical needs. WellCare is a Fortune 500 company, and in 2018, was recognized as a Fortune "World's Most Admired Company", ranking in the top five among the health insurance and managed care industry-a testament to the hard work and dedication of the company's nearly 9,000 associates who each day live WellCare's values and deliver on its mission to help its members live better, healthier lives. The company serves approximately 4.4 million members nationwide as of Dec. 31, 2017. For more information about WellCare, please visit the company's website at www.wellcare.com. EOE: All qualified applicants shall receive consideration for employment without regard to race, color, religion, creed, age, sex, pregnancy, veteran status, marital status, sexual orientation, gender identity or expression, national origin, ancestry, disability, genetic information, childbirth or related medical condition or other legally protected basis protected by applicable federal or state law except where a bona fide occupational qualification applies. Comprehensive Health Management, Inc. is an equal opportunity employer, M/F/D/V/SO.