Note: The job is a remote job and is open to candidates in USA. Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries. They are seeking a Data Scientist II to serve as a business partner for data-analytic deliverables, develop data assets for analytics, and produce reports and visualizations for internal and external stakeholders.

Responsibilities

• 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 and
• 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

Skills

• Bachelors or higher in Statistics, Engineering, Economics, or other quantitative discipline
• 1-3 years experience in a data-analytic intensive role
• Intermediate to advanced proficiency with SQL, SAS, R, STATA or other high level data programming language
• Basic to intermediate proficiency with Python, PHP, Perl, VB, JavaScript, C++ or other programming language
• Formal training or extensive applied experience with advanced statistical methods such as regression-type modeling, data-mining methods (e.g. classification trees)
• Proficiency with data visualization
• 1-3 years developing data that merges relational tables, either within a relational database or related 'big data' environments (e.g. SQL Server, Hadoop)
• 1-3 years of real world data and statistical analysis experience
• 1-3 years project management experience, including demonstrated success with cross-functional collaboration
• 1-3 years implementing novel analytics with minimal supervision

Benefits

• In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

Company Overview

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