Data Scientist II

Serve as a business partner to internal and external stakeholders, for data-analytic deliverables (including R&D) that are not automated or routine in nature, and require programming and data analysis expertise.

Develops data assets for analytic deliverables, including basic data analysis, advanced statistical analyses (e.g. regression-type models and data mining methods), reporting, and visualization (e.g. reports, dashboards, info-graphics).

Perform analytic work, including executing analyses, producing reports and other analytic deliverables.

• Under direction of a technical lead, in collaboration with other business partners serving the analytic client, execute on deliverables requirements.
• Independently produce analysis (e.g. basic data analysis, statistical test, statistical modeling) or analytics (e.g. a dashboard), with appropriate technologies (e.g. Excel, Tableau, R, Python, Tableau, PowerBI).
• Independently write programs in appropriate language (e.g. R, SQL, SPSS, SAS), to develop data (sets) needed to support deliverables.
• Produce written reports, for internal constituents, which summarize analytic deliverable; including methods, interpretations, and business implications.
• Support ad-hoc analytic advisory support to internal clients (e.g. sales, account management, advisory services, product management, and consulting), including answering data and methodology questions, interpretation of results.
• Stay abreast of contemporary analytics, such as big data technologies (e.g. cloud services, Hadoop, OLAP tools), analytic technologies (e.g. R, Python, PowerBI, Tableau, etc.), and statistical (including data-mining) methods.
• Stay abreast of healthcare industry issues affecting PG clients (e.g. VBP, HCAHPS, “Population Health”).
• Independently, and in collaboration with business partners (e.g. Strategy, Development, Product Management, and CRA) prototype scalable, novel analytic solutions that address important business questions.
• Independently, develop and prototype novel data sets that integrate existing PG or external data, for the purpose of developing novel analytic solutions.
• Ensure accuracy and quality of deliverables.
• Exhibit interpersonal skills that foster collaborative working relationships.
• Document work.