Data Scientist 2

Company:
Location: Louisville, KY

*** Mention DataYoshi when applying ***

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

*** Mention DataYoshi when applying ***

Offers you may like...

  • Luxoft

    Data Scientist / Data Analyst
    Warszawa, mazowieckie
  • Generali Deutschland AG

    Machine Learning Engineer (Analytics / Data Scienc...
    Saarbrücken
  • Miro

    Machine Learning Engineer (Data Science)
    Amsterdam
  • Tiger Analytics

    Language Researcher/Data Scientist
    Remote
  • Tiger Analytics

    Senior Data Scientist
    Remote