Manager, AI and Data Science Full Stack Engineer

About the job

Do 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 Commercial Creation Center & CDI organization (C4) 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, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production. Role Responsibilities • Develop end-to-end data engineering, data science and analytics products and AI modules. • Develop server-side logic using back-end technologies such as Python. • Develop data ETL pipelines using python and SQL. • Create responsive and visually appealing web interfaces using HTML, CSS, and Bootstrap. • Build dynamic and interactive web applications with JavaScript frameworks (React, Vue, or AngularJS). • Build data visualizations and data applications to enable data exploration and insights generation (e.g, Tableau, Power BI, Dash, Shiny, Streamlit, etc.). • Implement and maintain infrastructure and tools for software development and deployment using IaC tools. • Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery. • Implement 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 solutions. • Demonstrate a proactive approach to identifying and resolving potential system issues. • Contribute to the best practices of the team and help colleagues grow. • Communicate complex technical concepts and insights to both technical and non-technical stakeholders. • Stay up-to-date with emerging technologies and trends in your field. Basic Qualifications • Bachelor's or Master's degree in Computer Science, or a related field (or equivalent experience). • 5+ years of experience in software engineering, data science, or related technical fields. • Proven experience as a Full Stack Engineer or similar role, with a strong portfolio of successful projects. • Solid experience in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Good understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs.

Requirements

• AI
• Data Engineering
• Full Stack Engineering
• Machine Learning
• Data Visualization

Qualifications

• Bachelor's or Master's degree in Computer Science, or a related field

Preferred Technologies

• AI
• Data Engineering
• Full Stack Engineering
• Machine Learning
• Data Visualization

About the company

Future-focused and driven by purpose, Pfizer’s Digital team leverages cutting-edge technology for critical business decisions and enhances customer experiences.