**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 <>
Categories
• Financial Services
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