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Data Science

  • Newark, NJ, USA
  • 950,00.00
  • Improves commercial decision-making through proactively recommending, creating, and delivering data driven solutions leveraging advanced analytical tools and methods to provide insight into many provider-focused business areas, including segmentation, call targeting, and promotion optimization

  • Utilizes advanced provider-focused statistical models to assess key drivers of marketing and/or sales impact

  • Develop models for the Customer Propensity to Act database to predict the likelihood that customers will take specific actions

  • Simulate the impact of future provider-focused marketing and/or sales activities to identify the optimal result

  • Design custom analysis tools in applications such as R, Python, Microsoft Excel, and SAS

  • Synthesize and communicate results to key stakeholders

  • Collaborate with the promotion strategy, technology, and brand teams to ensure results can be implemented in the marketplace

  • Develops and maintains a knowledge repository for Customer Engagement Analytics to ensure capture of and easy access to insights and best practices

  • Focuses on analytic and reporting process improvements to create efficiencies over time

  • Shares analytic best practices and continuous improvement across the CE Analytics team

  • Proactively identifies and addresses opportunities to develop technical skill and leadership capabilities to enable long term CE vision


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