Humana

About Humana

 

Job Category:

Analytics & Business Intelligence - Data Analytics

Country:

United States

Postal Code:

40201

Approximate Salary:

Not Specified

Position Type:

Full Time

Data Science Cognitive/Machine Learning Professional 2

Humana - Louisville, Kentucky

Posted: 10/20/2018

Description

The Cognitive/Machine Learning Professional 2 leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Cognitive/Machine Learning Professional 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

The Cognitive/Machine Learning Professional 2 collaborates with analytic and data teams to set objectives, approaches, and work plans. Researches and evaluates new analytical methodologies, approaches, and solutions. Develops and validates statistical forecasting models and tools. Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.

               

Required Qualifications

  • Master's Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
  • 2-4+ years of experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights
  • Experience building predictive models and exposure to using NLP to solve problems
  • Demonstrated experience with Python, SAS, SQL, SPSS or similar statistical tools
  • Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers
  • Clear oral and written communication skills
  • Flexible, dynamic personality who is able to work independently in a team environment

    Preferred Qualifications

  • PhD in a quantitative discipline
  • Healthcare or managed care experience
  • Experience performing data management, mining, and manipulation along with analytics

    Additional Information

Scheduled Weekly Hours

40

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