Use advanced analytics techniques and build models to answer business questions at the intersection of the pharmaceutical and marketing spaces to provide value to commercial teams - Dive deep into a variety of data sources to find patterns, explain trends and tie them to business outcomes - Exhibit deep expertise on statistical/AI/ML techniques combined with strong knowledge of the commercial pharma business and the problems that are being solved by data and analytics - Effectively work and communicate with global teams and stakeholders to present the final outcomes and provide recommendations as needed. - Serve as a career advisor/ coach, work with functional leadership and HR to identify career opportunities for team members - Stay current with respect to ML modelling methodologies, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected - Continuous learning and experimenting new with possibilities for commercial analytics - Collaborate with cross functional teams and external consultants to help review or translate this work to other team members