Experience Inc. Jobs

Job Information

Humana Data Scientist 2 in Chicago, Illinois

Description

The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

The Data Scientist 2 will be responsible for leveraging advanced analytics and machine learning to advance strategy and initiatives at HPS and Humana Pharmacy.

  • Manage and manipulate large data sets to support analytics projects

  • Work with business partners to identify areas of opportunity and deliver business insights

  • Present findings to business/technical partners; be able to present technical findings clearly to non-technical audiences

  • Identify and measure project outcomes

  • Use supervised and unsupervised machine learning to develop models that help solve business problems

  • Work with a diverse array of business partners and assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management

Required Qualifications

  • Master's Degree in Statistics, Computer Science, Mathematics, Quantitative Social Sciences or other quantitative discipline

  • Experience in Python, R, SAS, SQL or other statistical programming language

  • Experience in manipulating and working with structured and/or unstructured data sets for analysis and reporting

  • Experience in creating reports, projections, models, and presentations to support business

  • Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions

  • Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas

  • Capable of making decisions regarding own work methods, occasionally in ambiguous situations

Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

  • PhD in Statistics, Computer Science, Mathematics, Quantitative Social Sciences or other quantitative discipline

  • Experience with pharmacy and/or health care data

  • Experience with Azure cloud storage and analytics solutions

  • Experience with Databricks and/or PySpark

Scheduled Weekly Hours

40

DirectEmployers