Humana

About Humana

 

Job Category:

Analytics & Business Intelligence - Data Analytics

Country:

United States

Postal Code:

75014

Approximate Salary:

Not Specified

Position Type:

Full Time

Senior Data Scientist

Humana - Irving, Texas

Posted: 09/11/2018

Description

The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic health solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

The Senior Data Scientist develops, maintains, and collects data for analysis. Creates projections, models, and presentations to support business strategy and tactics. He or she influences department’s strategy and makes decisions on moderately complex to complex issues regarding technical approach for project components. Work is often performed without direction. The candidate exercises considerable latitude in determining objectives and approaches to assignments.

               

Required Qualifications

  • Master’s degree or equivalent in Computer Science, Information Systems, Engineering, Statistics, or Mathematics
  • 4+ years’ experience completing data mining, manipulation, cleaning and technical analysis
  • Experience leading large projects, processes or people
  • Experience using technical and analytical tools to manipulate data using Python, PySpark etc.
  • Strong problem solving and troubleshooting skills, especially around data acquisition and delivery
  • Team player with strong interpersonal relationship, team building, collaboration and facilitation skills
  • Strong verbal and written communication with a proactive approach to sharing information and solving problems
  • Ability to work independently and efficiently to manage multiple competing projects and initiatives
  • Experience with statistical methods such as linear and non-linear regression, survival analysis, longitudinal analysis, propensity score match etc.

Preferred Qualifications:

  • Knowledge of working in big data environments
  • Exposure to large-scale clinical or healthcare data
  • Desire to learn complex predictive modeling, analytics consultation, and/or in depth clinical or outcomes based analytics
  • Understanding of epidemiologic concepts such as confounding and interaction
  • Demonstration of visualization techniques and experience utilizing visualization tools (such as Tableau/Qlik)
  • Exposure to tools to extract detail from unstructured data

Scheduled Weekly Hours

40

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