Senior Data Scientist (Advanced Analytical Solutions) - Louisville, KY

Humana - Louisville, KY3.7


The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Additional Job Description

The Senior Data Scientist will work directly with internal customers to help guide decision makers (executives to front-line leaders) to make it easy for our associates to complete complex processes, ultimately having a direct impact on our members using your consulting, analytics and problem solving skills. You will also engage with business partners outside of Resolution Team on discovering the actionable insights that will help improving member and provider’s experience through analytics. You will assist in the presentation, implementation, and evaluation of your recommendations and solutions.

In addition, the Senior Data Scientist will:

  • Participate in discussions with the internal business partners to determine areas of challenge that are opportunities for analytics to be the right tool
  • Develop analytical constructs based on addressing business challenges
  • Develop predictive models to identify operational gaps, drive process improvement and identify business opportunities
  • Provide expertise and assistance in implementing model results in ongoing business processes
  • Combine and analyze diverse types of data to extract fresh, actionable discoveries about G&A operation
  • Participate in developing and selecting new data sources and ensuring the quality and reliability of the data

Required Qualifications

  • MS or Ph.D. with strong quantitative/analyticalemphasis
  • 3-7 years of working experience in analytics
  • Proven ability to present solutions using both technical and non-technical arguments for business interpretation of models and results
  • Knowledge of applications that process millions of records
  • Knowledge of data mining, statistics, analytical methods and tools, techniques and algorithms
  • Experience using Python, SAS, SQL, SPSS or similar statistical tools

Preferred Qualifications

  • Experience with health care data
  • Experience with SAS Enterprise Miner
  • knowledge of G&A operation

Job Type: Full-time


  • Data Mining: 1 year (Preferred)
  • Python: 1 year (Preferred)
  • SQL: 1 year (Preferred)
  • SPSS: 1 year (Preferred)


  • Master's (Required)