Contribute to the development of data science methodologies, frameworks and best practices across customer/stakeholder archetypes; Develop and implement advanced analytics models and mentor others on the use and application of those modeling techniques; Support brand-related strategies, opportunity discovery and investment decisions with advanced analytics (examples include Customer Segmentation, Patient Adherence Analysis, HCP Network Analysis, etc.); inform global, regional and local brand related decisions; Implement marketing performance measurement processes such as Marketing Mix Optimization, brand tactics/campaign assessment ROI, etc
Requirements:
Bachelor’s degree in business-related field; Minimum 6 years of pharmaceutical analytics, operations or related experience required that includes data analysis and reporting, or seven years with Master's degree and related experience required, with demonstrated success in managing related teams and projects of increasing size and complexity; Recent hands-on experience with statistical modeling techniques and their application within complex analytical projects (e.g., regression/promotion response modeling, ROI, correlation coefficient, etc.)
Text:
Senior Data Scientist, Commercial Analytics Contribute to the development of data science methodologies, frameworks and best practices across customer/stakeholder archetypes; Develop and implement advanced analytics models and mentor others on the use and application of those modeling techniques; Support brand-related strategies, opportunity discovery and investment decisions with advanced analytics (examples include Customer Segmentation, Patient Adherence Analysis, HCP Network Analysis, etc.); inform global, regional and local brand related decisions; Implement marketing performance measurement processes such as Marketing Mix Optimization, brand tactics/campaign assessment ROI, etc Bachelor’s degree in business-related field; Minimum 6 years of pharmaceutical analytics, operations or related experience required that includes data analysis and reporting, or seven years with Master's degree and related experience required, with demonstrated success in managing related teams and projects of increasing size and complexity; Recent hands-on experience with statistical modeling techniques and their application within complex analytical projects (e.g., regression/promotion response modeling, ROI, correlation coefficient, etc.)
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