as a member of the pfizer analytics lab team a component of pfizers business technology organization the senior data scientist will join a group dedicated to leveraging data and advanced analytics to create a healthier world specifically this group is focused on developing a set of capabilities designed to enable highly efficient exploration experimentation and ultimately rapid hypothesis generation based on internal public and commercially available datasets daytoday the senior data scientist will actively support adhoc analysis efforts by groups across pfizer largely focused on identifying developing and delivering lifechanging therapies to patients around the world further this role will be a key contributor to the teams ongoing analytic product development activities an essential component to creating a scalable analytics capability for pfizer in addition as technologists within pfizers analytic ecosystem this role will also participate in the assessment of new technologies as well as identifying nextgeneration solution architectures role responsibilities partner with business bt teams across pfizer to maximize the use of data in answering key questions related to acceleration of drug discovery efforts identification of drug repurposing opportunities optimization of clinical trial activities improving patient access to pfizer therapies through a better understanding of outcomes patterns of care and maximizing the value of our interactions with patients healthcare providers payers and regulatory agencies partner closely with line based business technology teams to define and execute pocs using innovative technologies to advance pfizers analytics and ai capabilities lead rapidprototyping engagements focused on assessing use case viability and gauging potential business impact provide leadership within ai coe team to define champion common aienabled solution architecture for use across the enterprise provide technical leadership in the delivery of analytics and ai pipelines that include components related to data acquisition exploratory analysis feature engineering predictive model designbuild and interactive storytelling sharedownership of advancing the teams analytics and ai capabilities through implementation and execution of stateoftheart approaches produce actionable data presentations and visualizations for decision makers throughout the organization directly engage with key business stakeholders sr directordirector level leadership of multiple project teams comprised of colleagues contract staff mentor and coach junior members of ai coes team across all geographical locations and sites partner with ai engineering team to drive adoption of micro services framework across all ai projects identify implement reusable components micro services across multiple projects leveraging common solution patterns qualifications 8 years experience leading analytics or ai projects teams and building analytical platforms in a large organization with multiple functional constructs 5 years experience working as a data scientist ml engineer 3 years working with semistructured and unstructured data 2 years working in a cloud based analytics ecosystem advanced degree in computer science operations research data science applied mathematics or related field proven experience in at least two of the three following categories data science machine learning expertise with generalpurpose statisticsmachine learning algorithms and at least one of the following subdisciplines natural language processing deep learning network analysis expertise with the implementation of