.Sr. Associate, AI and Data Science Full Stack EngineerDo you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital's Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer's transformation into a digitally driven organization, using data science and AI to change patients' lives. The Data Science Industrialization team is a key driver of Pfizer's digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.As a Sr. Associate, AI and Data Science Full Stack Engineer, you will join the Data Science Industrialization team. Your responsibilities will include implementing AI solutions at scale for Pfizer business. You will iteratively develop and continuously improve data science workflows, AI based software solutions and AI components.ROLE RESPONSIBILITIESContribute to the end-to-end build and deployment of data science and analytics products and AI modulesDevelop server-side logic using back-end technologies such as PythonContribute to the implementation of data ETL pipelines using Python and SQLBuild web applications with JavaScript frameworksBuild data visualizations and data applications to enable data exploration and insights generationMaintain infrastructure and tools for software development and deploying using IaC toolsAutomate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software deliveryImplement logging and monitoring tools to gain insights into system behavior.Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutionsBuild data visualizations and data applications to enable data exploration and insights generation (e.G., Tableau, Power BI, Dash, Shiny, Streamlit, etc.).Stay up-to-date with emerging technologies and trends in your field.BASIC QUALIFICATIONSBachelor's or Master's degree in Computer Science, or a related field (or equivalent experience).2+ years of experience in software engineering, data science, or related technical fields.Experience in programming languages such as Python or RFamiliarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs.Familiarity with data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering.Highly self-motivated, capable of delivering both independently and through strong team collaboration.Ability to creatively tackle new challenges and step outside your comfort zone