Role SummaryDo you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains together through data and analytics? Then join Pfizer Digital's Analytics, Data and Learning organization where you can leverage cutting-edge technology including AI and ML to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of global teams drives insights to action for some of the most critical business questions for the company. Our analytics professionals are based in over 30 countries around the world and come from diverse backgrounds including: market research, data science, digital analytics, finance, investment banking, corporate development, and consulting. Join one of our teams and be at the forefront of Pfizer's digital transformation, driving innovation and bringing advance analytics to change patients' lives.ROLE RESPONSIBILITIES- Provide thought leadership to design and develop AI/ML approaches to solve business problems to transform Pfizer's go-to-market model for the Pfizer Global Supply enterprise- Lead the execution of data science projects and provide input in the development of AI/ML capabilities- Execute advanced analytics and predictive modeling projects using rigorous statistical methods and machine learning techniques- Design, develop, deploy, and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution- Implement Agile-based project management standards (i.e., daily check-in procedures, workload status, and cost overruns/projections)- Participate in discussions to envision and develop data science and advanced analytics capabilities for the commercial enterpriseBASIC QUALIFICATIONS- 3 years of work experience as a data scientist and for a diverse range of projects STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis - Statistics, Computer Science, Economics, Engineering etc.- Expert proficiency in Python, R, and analytics platforms- Applied knowledge of statistical analysis, experience with R, Excel, etc.- Strong background in computer science: algorithms, data structures, machine learning, deep learning, and distributed systems- Superior analytical skills required, Strong verbal and written communication skills- Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versaPREFERRED QUALIFICATIONS- Knowledge of business processes in one or more of supply chain, logistics, cold chain, quality, regulatory or safety domains would be strong plus- Industry or consulting experience, along with project management skills strongly preferred- Experience in one or more of the following areas preferred: machine learning, statistics, graph analytics, optimization, healthcare, life sciences- Knowledge of Dataiku, Neo4j, Gurobi optimization, ontologies, knowledge graph, IoT would be strong plus- Experience working in Agile processes and practicesLI-PFEPfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Information & Business TechLI-PFE
